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Salary Range:&nbsp;&nbsp;$135,136.00&nbsp;(Min.) -&nbsp;$175,676.00&nbsp;(Mid.) -&nbsp;$216,218.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Applied Artificial Intelligence (AI) Scientist III is a subject matter expert, hands-on practitioner who designs, builds, and implements advanced artificial intelligence (AI) and machine learning (ML) solutions that directly enable the organization to execute its strategic priorities. This role combines deep technical expertise with healthcare domain knowledge to deliver scalable, production-grade AI applications that improve quality, reduce administrative waste, and enhance member outcomes.The Applied AI Scientist III independently leads complex projects from ideation through operational deployment, working across data, technology, and business teams to develop models and algorithms that power key functions such as claims accuracy, care coordination, quality improvement, and fraud detection. This position is highly collaborative, frequently partnering with leaders across departments to understand business needs and translate them into AI-driven capabilities that deliver measurable value.&nbsp;The Applied AI Scientist III serves as a mentor and role model for staff promoting best practices in model design, documentation, version control, and interpretability. The position is central to advancing the organization’s AI maturity—driving both innovation and execution within an applied, results-oriented framework. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp;&nbsp; <h4>Duties</h4>Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management.Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration.Implement production-grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring.Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards.Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy.Translate business challenges into well-structured analytical problems and lead cross-functional teams through data discovery, feature engineering, and algorithm development.Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets.Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing.Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility.Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders.Contribute to the development of reusable AI assets, libraries, and standardized templates to accelerate future model development.<h4>Remain current on emerging AI/ML technologies, frameworks, and healthcare analytics applications, and advise leadership on adoption opportunities.</h4><h4>Apply subject matter expertise in evaluating business operations and processes. Identify areas where technical solutions would improve business performance. Consult across business operations, provide mentorship, and contribute specialized knowledge. Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provide training, recommend process improvements, and mentor staff, department interns, etc. as needed.</h4><h4>Perform other duties as assigned.</h4><h4>Duties Continued</h4><h4>Education Required</h4>Master's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Doctorate Degree<h4>Experience</h4>Required:At least 6 years of professional experience developing and deploying machine learning and AI solutions in enterprise or healthcare environments.Demonstrated experience leading full AI solution lifecycles – from problem definition to deployment and monitoring.Proven successful experience developing predictive models using structured and unstructured healthcare data (e.g., claims, encounters, eligibility, provider, quality metrics).Experience with Python (Pandas, Scikit-learn, PySpark), distributed data frameworks (Spark), and MLOps concepts.Strong collaboration and mentorship experience, including guiding junior data scientists and analysts.Experience integrating AI solutions into production environments in collaboration with IT or Data Engineering.Experience with version control (Git) and model documentation best practices.Experience building and deploying models in production using MLOps frameworks and cloud platforms.Preferred:Experience within a Managed Care Organization (MCO) or health plan environment (Medi-Cal, Medicare, or ACA Exchange).Experience developing and operationalizing Large Language Models (LLM)-based solutions, including prompt engineering or retrieval-augmented generation (RAG).Experience in risk adjustment, payment integrity, or quality measurement modeling.Experience with healthcare data analytics and modeling in Managed Care settings.<h4>Skills</h4>Required:Advanced programming skills in Python, including libraries for data processing, modeling, and analytics (e.g., Pandas, Scikit-learn, PySpark).Deep understanding of machine learning and AI techniques, including supervised and unsupervised learning, feature engineering, model optimization, and explainability.Strong analytical problem-solving skills with the ability to structure complex problems into actionable modeling tasks.Exceptional written and verbal communication skills, including documentation and presentation of technical material to non-technical audiences.Excellent collaboration skills and ability to lead cross-functional projects involving IT, business stakeholders, and analytics peers.Excellent communication, documentation, and stakeholder engagement skills.Preferred:Knowledge of generative AI tools and frameworks (e.g., LangChain, OpenAI APIs, Azure OpenAI).Knowledge and understanding of responsible AI principles, including bias detection, fairness, and explainability.Knowledge of R or SQL for complementary analytics tasks.Knowledge of Snowpark for scalable model deployment.Knowledge of Shiny or Streamlit for AI-driven application delivery.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Snowflake SnowPro Core CertificationSnowPro® Specialty: Snowpark CertificationPython Institute PCEP™ or PCAP™ (Python Programming)HarvardX or Johns Hopkins Data Science Certificate (R)Microsoft Certified: Data Scientist Associate (DP-100)Certified Analytics Professional (CAP)Certified Health Data Analyst (CHDA)Microsoft Certified Professional (MCP)<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicare, Defense, Insurance, Healthcare, Government

L.A. Care Health Plan

Applied Artificial Intelligence Scientist III

Salary Range:&nbsp;&nbsp;$171,925.00&nbsp;(Min.) -&nbsp;$232,100.00&nbsp;(Mid.) -&nbsp;$292,274.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Senior Director of Strategic Investments and Partnerships leads L.A. Care’s strategic giving, investments, innovation, and partnership work with the Chief Strategy and Transformation Officer.&nbsp; This position will manage and research investment trends in strategic giving and broader investments that support L.A. Care’s business. In tandem with the strategic plan, this position will ensure that annually investments and partnerships are aligned with strategic priorities. The position will work in tandem with the analytics team on artificial intelligence (AI), emerging technologies and innovation opportunities. The Senior Director is responsible for charting LA Care’s path in strategic investments, external partnerships, and impactful community giving in collaboration with internal departments who design and operationalize community programs and initiatives. This position serves as a crucial bridge between organizational strategy and external collaboration, ensuring that capital and community resources are deployed to further the health plan’s mission, maximize value, and foster health equity across Los Angeles County. With oversight of a multi-million-dollar portfolio, the Senior director works with internal operational teams to leverage both quantitative and qualitative insights to unlock new avenues for innovation, growth, and social impact, and build relationships with community leaders, business partners, philanthropic organizations and other key stakeholders in Los Angeles County and beyond to enhance L.A. Care’s influence and reputation.The Senior Director leads LA Care’s advancement into innovative digital health solutions, focusing on the adoption and integration of artificial intelligence and other disruptive technologies alignment investment and partnership opportunities with this work. This leader crafts a forward-thinking technology vision to propel L.A. Care’s service delivery, member engagement, and operational efficiency. Acting as both strategist, persuader, and champion, the role evaluates next-generation tools, fosters experimentation, and ensures responsible implementation that meets legal and ethical standards—positioning L.A. Care as a tech-enabled health plan prepared for the future of healthcare.The Senior Director will direct all aspects of running an efficient team, including hiring, supervising, coaching, training, disciplining, and motivating direct reports.&nbsp; The Senior Director will coordinate, consult and coordinate across L.A. Care to ensure that business partners are engaged to ensure the point of view of the business is key in investments and partnerships.<h4>Duties</h4>Develops and refines the organization’s strategic investment portfolio and partnership roadmap.&nbsp; Guides the direction and effectiveness of community giving programs to support core L.A. Care objectives.&nbsp; Aligns investment and partnership efforts with long-term organizational growth and innovation goals. Oversees due diligence, selection, and management of investment and partnership opportunities across L.A. Care with relevant stakeholders. &nbsp;Works with internal operational and programmatic leaders to ensure operationalization of investment and giving programs, including budget oversight and performance tracking.Monitors program outcomes, reports to executive leadership, and recommends course corrections as needed.Builds, mentors, and retains a high-performing team accountable for program results.Fosters a culture of mission-driven engagement, collaboration, and professional growth.Sets clear goals, coach direct reports, and ensure cross-team accountability.Creatively thinks and responds to emerging threats and issues and examines business opportunities and needs in respond.Develops and executes community-based initiatives and advocacy in partnership with operational and program leaders.Collaborates on investment planning, budget management, ROI analyses and accounting for investments and community giving.<h4>Duties Continued</h4>Coordinates community supports cross-functional stakeholders within the organization to obtain input on strategic investments and partnerships from the organization's stakeholders including but not limited to the Public Advisory Committees. Supports senior leadership and the Board in the development of strategic investments and partnerships to grow and develop the business and serve the community of Los Angeles County. Develops goals, objectives and actions plans for assigned staff which includes full management responsibility for the hiring, performance reviews, salary reviews and disciplinary matters for direct reporting employees. Prepares briefings, reports, consultation documents and presentations that clearly articulate L.A. Care's regulatory position and policy. Develops regulatory position and policy based on research and evidence.Develop, and manage department budget, monitor expenditures and ensures financial sustainability.Shapes digital innovation strategy, prioritizing high-impact tech investments for LA Care.Serves as a thought leader on emerging tech, guiding adoption in clinical and administrative domains.Anticipates industry trends and regulatory shifts to maintain competitive edge.<h4>Performs other duties as assigned. </h4><h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree in Public Health or Related Field<h4>Experience</h4>Required:At least 9 years of relevant experience in a health organization or managed care setting with government health programs, health policy, social service organizations and/or government.At least 8 years leading staff or supervisory/management experience in a health organization or managed care setting, focusing on government health programs, health policies, social service organizations, etc. <h4>Skills</h4>Required:Ability to perform both qualitative and quantitative analysis and research. Excellent analytical, communication and strategic planning skills and a demonstrated ability to build strategic alliances are key.Ability to make timely and effective decisions.Strong ability to prioritize and handle multiple initiatives in parallel as well as changing priorities.Excellent organizational, technical writing, verbal and interpersonal communication skills, and keen attention to detail.Excellent interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment.Strong strategic and operational acumen, with the ability to collaborate across business areas, anticipate analytic needs, and ensure alignment with enterprise priorities and transformation initiatives. Demonstrated ability to adapt to a fast-paced and evolving environment.Excellent verbal and written communication skills.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4><h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Philanthropic, Philanthropy, Public Health, Equity, Nonprofit, Healthcare, Finance

Senior Director, Strategic Investments, Innovation and Partnerships

Salary Range:&nbsp;&nbsp;$88,854.00&nbsp;(Min.) -&nbsp;$115,509.00&nbsp;(Mid.) -&nbsp;$142,166.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Enterprise Data Analyst III serves as a Subject Matter Expert (SME) contributor responsible for leading complex analytic projects that link insights directly to enterprise goals, resource allocation, and performance improvement. This position leads the full analytic development process from business case definition and structured scoping through peer review, deployment, and post-implementation evaluation, ensuring high-quality, reproducible, and impactful outputs.The Analyst III applies advanced analytic reasoning and strong business acumen to deliver analyses that inform both operational and financial decision making. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp; <h4>Duties</h4>Leads end-to-end analytic development, from structured business case definition and requirements gathering to delivery of validated, actionable insights.Conducts advanced analyses evaluating drivers of quality, operational efficiency, and financial performance.Coordinates with IT and product owners to ensure analytic outputs are integrated into enterprise systems and recurring workflows.Develops, optimizes, and automates analytic assets (data models, dashboards, reports) following enterprise design and refresh standards.Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.Maintains awareness of data lineage and governance compliance throughout all analytic work.Manages project planning, tracking, and post-implementation assessment for assigned deliverables.Mentors and models adherence to analytic development best practices.Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.Perform other duties as assigned.<h4>Duties Continued</h4>Domain Specific Experience and Skills:Domain Focus: Authorization &amp; Claims Operations AnalyticsRequired: Experience with Utilization Management (UM) authorization workflows and prior authorization metrics. Knowledge of claims operations, including receiving, adjudication, and provider dispute resolution. Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams. Ability to analyze operational Key Performance Indicators (KPIs) (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.Domain Focus: Network Strategy AnalyticsRequired: Experience supporting initiatives to optimize cost, access, and quality within provider networks. Experience analyzing provider networks, including contracting, credentialing, and panel optimization. Ability to evaluate network performance metrics and translate findings into actionable insights for strategy and business planning.Domain Focus: Risk Adjustment AnalyticsRequired: Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring. Knowledge of diagnosis documentation, encounter data, and coding completeness to optimize plan revenue and quality scores. Knowledge of regulatory requirements impacting risk adjustment (e.g., Centers for Medicare and Medicaid Services (CMS) guidelines). Ability to assess encounter submission and processing operations, identifying trends, anomalies, or gaps in risk capture across provider or member populations.Preferred Certification: AAPC Certified Risk Adjustment Coder (CRC®); Practice Management Institute Certified Risk Adjustment and HCC Coder (CRA-HCC™); NAMAS Certified HCC Coder (CHCC™); AHIMA Certified Coding Specialist (CCS®)Domain Focus: Medical Cost Driver AnalyticsRequired: Experience analyzing medical cost drivers across populations, conditions, and service types. Experience developing dashboards or analytic tools to monitor and optimize medical spend. Knowledge of claims, provider, and condition level analyses to support financial and operational decision making. Ability to identify high-cost services, utilization patterns, and opportunities for cost containment.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree<h4>Experience</h4>Required:At least 4 years of experience in analytics, with substantial exposure to healthcare operations, managed care, or population health.Experience leading end-to-end analytic projects, including requirements gathering, data validation, analysis, and delivery of insights.Experience analyzing multiple data sources and translate findings into actionable recommendations.Preferred:Experience with advanced analytics techniques, including multivariate analysis, regression, control charts, or predictive modeling.Experience in domain specific operations, such as network strategy, risk adjustment, or medical cost driver analysis.Experience mentoring junior analysts or providing guidance on analytic best practices.<h4>Skills</h4>RequiredExpert in SQL for complex exploratory analysis, data modeling, and Extract, Transform, and Load (ETL) processes supporting enterprise dashboards, reports, and analytic deliverables.&nbsp;Advanced proficiency in Tableau (or equivalent BI tools) to design, optimize, and automate dashboards and visualizations for enterprise level insights.Strong statistical and analytical skills, including multivariate analyses, regression, and control charts to identify drivers of operational, clinical, and financial performance.Knowledge of version control (Git, GitHub) and collaborative development workflows, including peer review, continuous integration, and reproducible analytic practices.Ability to develop and maintain reusable analytic frameworks, templates, and processes that support recurring reporting and performance monitoring.&nbsp;Proficiency in data validation, reconciliation, and adherence to governance standards, including data lineage tracking and quality control.Ability to translate complex business problems into structured analytic requirements and actionable insights.&nbsp;Ability to interpret analytic results in the context of organizational performance, operational priorities, and enterprise goals.&nbsp;Ability to apply critical thinking to identify patterns, opportunities, and risks across multiple data domains.&nbsp;Ability to collaborate effectively with IT, operational teams, and business partners to operationalize analytic outputs.&nbsp;Demonstrated knowledge of healthcare concepts, such as quality measures, utilization patterns, and key operational drivers in a managed care environment.Ability to lead analytic projects end-to-end, including business case definition, requirements gathering, analysis, and post-implementation assessment.&nbsp;Ability to mentor junior analysts and promote adherence to analytic best practices.&nbsp;Ability to manage multiple projects simultaneously, prioritize tasks, and escalate issues appropriately.&nbsp;Ability to communicate findings effectively to both technical and non-technical stakeholders.&nbsp;<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Tableau Certified Data Analyst or Tableau Desktop SpecialistMicrosoft Certified: Power BI Data Analyst AssociateSnowflake SnowPro Core CertificationSnowPro® Specialty: Snowpark CertificationSQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)Certified Health Data Analyst (CHDA)Managed Care Professional (MCP) or relevant certification.<h4>Required Training</h4>General Skills Preferred:Proficient with Process Improvement Methodology including defining and documenting workflow.&nbsp;Knowledge of program and project level planning, mobilization and managementDomain Specific Experience and Skills: Domain Focus: Population Health AnalyticsRequired: Experience analyzing community supports, care management, health education, Managed Long-Term Support Services (MLTSS), and intervention programs. Experience translating data into actionable insights to guide interventions, resource allocation, program improvements, and new ideas for member programs based on population needs. Knowledge of population health management frameworks and social determinants of health. Ability to evaluate population level outcomes and operational performance metrics. Preferred: Experience understanding and responding to ongoing California Department of Health Care Services (DHCS) requirements for various programs, such as CalAIM. Domain Focus: Quality Improvement AnalyticsRequired: Experience analyzing Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality measurement programs across both medical and pharmacy domains. Experience translating data into actionable insights to inform interventions, compliance, and performance improvement strategies. Knowledge of quality measurement frameworks, regulatory requirements, and reporting standards. Ability to evaluate performance metrics, trends, and gaps to support quality improvement initiatives.Preferred: Experience supporting quality reporting requirements and initiatives for regulatory or accreditation programs (e.g., CMS, DHCS).Experience supporting provider focused incentive program analytics. Preferred Certification: Certified Professional in Healthcare Quality (CPHQ)<h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Domain Specific Experience and Skills:Domain Focus: Access to Care AnalyticsRequired: Experience analyzing appointment timeliness, access, and provider availability. Experience translating data into actionable insights to improve access, reduce barriers, and optimize provider scheduling. Experience supporting initiatives to improve network adequacy and member access, including operational interventions and performance monitoring. Knowledge access measurement frameworks and regulatory requirements. Ability to evaluate member access metrics, network capacity, and operational performance. Domain Focus: Enterprise Support AnalyticsRequired: Experience supporting enterprise level KPI maintenance, cross domain dashboards, and measure ROI analyses. Ability to develop analytic tools and dashboards that consolidate insights across multiple domains. Experience translating data into actionable insights for strategic investments, operational decisions, and organizational performance monitoring. Knowledge of analytics frameworks, governance standards, and enterprise reporting processes.Preferred: Experience supporting talent development analytics or enterprise-wide strategic initiative evaluation.Domain Focus: Member Experience AnalyticsRequired: Experience analyzing call center operations, enrollment services, and appeals &amp; grievances. Experience translating data into actionable insights to improve member experience and member engagement operations. Knowledge of Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys or other member satisfaction measurement tools. Ability to assess member touchpoints, satisfaction metrics, and operational KPIs.Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicaid, Medical Coding, Medicare, Pharmacy, Insurance, Healthcare

Enterprise Data Analyst III

Salary Range:&nbsp;&nbsp;$88,854.00&nbsp;(Min.) -&nbsp;$115,509.00&nbsp;(Mid.) -&nbsp;$142,166.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Enterprise Data Analyst III serves as a Subject Matter Expert (SME) contributor responsible for leading complex analytic projects that link insights directly to enterprise goals, resource allocation, and performance improvement. This position leads the full analytic development process from business case definition and structured scoping through peer review, deployment, and post-implementation evaluation, ensuring high-quality, reproducible, and impactful outputs.The Analyst III applies advanced analytic reasoning and strong business acumen to deliver analyses that inform both operational and financial decision making. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp; <h4>Duties</h4>Leads end-to-end analytic development, from structured business case definition and requirements gathering to delivery of validated, actionable insights.Conducts advanced analyses evaluating drivers of quality, operational efficiency, and financial performance.Coordinates with IT and product owners to ensure analytic outputs are integrated into enterprise systems and recurring workflows.Develops, optimizes, and automates analytic assets (data models, dashboards, reports) following enterprise design and refresh standards.Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.Maintains awareness of data lineage and governance compliance throughout all analytic work.Manages project planning, tracking, and post-implementation assessment for assigned deliverables.Mentors and models adherence to analytic development best practices.Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.Perform other duties as assigned.<h4>Duties Continued</h4>Domain Specific Experience and Skills:Domain Focus: Authorization &amp; Claims Operations AnalyticsRequired: Experience with Utilization Management (UM) authorization workflows and prior authorization metrics. Knowledge of claims operations, including receiving, adjudication, and provider dispute resolution. Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams. Ability to analyze operational Key Performance Indicators (KPIs) (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.Domain Focus: Network Strategy AnalyticsRequired: Experience supporting initiatives to optimize cost, access, and quality within provider networks. Experience analyzing provider networks, including contracting, credentialing, and panel optimization. Ability to evaluate network performance metrics and translate findings into actionable insights for strategy and business planning.Domain Focus: Risk Adjustment AnalyticsRequired: Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring. Knowledge of diagnosis documentation, encounter data, and coding completeness to optimize plan revenue and quality scores. Knowledge of regulatory requirements impacting risk adjustment (e.g., Centers for Medicare and Medicaid Services (CMS) guidelines). Ability to assess encounter submission and processing operations, identifying trends, anomalies, or gaps in risk capture across provider or member populations.Preferred Certification: AAPC Certified Risk Adjustment Coder (CRC®); Practice Management Institute Certified Risk Adjustment and HCC Coder (CRA-HCC™); NAMAS Certified HCC Coder (CHCC™); AHIMA Certified Coding Specialist (CCS®)Domain Focus: Medical Cost Driver AnalyticsRequired: Experience analyzing medical cost drivers across populations, conditions, and service types. Experience developing dashboards or analytic tools to monitor and optimize medical spend. Knowledge of claims, provider, and condition level analyses to support financial and operational decision making. Ability to identify high-cost services, utilization patterns, and opportunities for cost containment.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree<h4>Experience</h4>Required:At least 4 years of experience in analytics, with substantial exposure to healthcare operations, managed care, or population health.Experience leading end-to-end analytic projects, including requirements gathering, data validation, analysis, and delivery of insights.Experience analyzing multiple data sources and translate findings into actionable recommendations.Preferred:Experience with advanced analytics techniques, including multivariate analysis, regression, control charts, or predictive modeling.Experience in domain specific operations, such as network strategy, risk adjustment, or medical cost driver analysis.Experience mentoring junior analysts or providing guidance on analytic best practices.<h4>Skills</h4>RequiredExpert in SQL for complex exploratory analysis, data modeling, and Extract, Transform, and Load (ETL) processes supporting enterprise dashboards, reports, and analytic deliverables.&nbsp;Advanced proficiency in Tableau (or equivalent BI tools) to design, optimize, and automate dashboards and visualizations for enterprise level insights.Strong statistical and analytical skills, including multivariate analyses, regression, and control charts to identify drivers of operational, clinical, and financial performance.Knowledge of version control (Git, GitHub) and collaborative development workflows, including peer review, continuous integration, and reproducible analytic practices.Ability to develop and maintain reusable analytic frameworks, templates, and processes that support recurring reporting and performance monitoring.&nbsp;Proficiency in data validation, reconciliation, and adherence to governance standards, including data lineage tracking and quality control.Ability to translate complex business problems into structured analytic requirements and actionable insights.&nbsp;Ability to interpret analytic results in the context of organizational performance, operational priorities, and enterprise goals.&nbsp;Ability to apply critical thinking to identify patterns, opportunities, and risks across multiple data domains.&nbsp;Ability to collaborate effectively with IT, operational teams, and business partners to operationalize analytic outputs.&nbsp;Demonstrated knowledge of healthcare concepts, such as quality measures, utilization patterns, and key operational drivers in a managed care environment.Ability to lead analytic projects end-to-end, including business case definition, requirements gathering, analysis, and post-implementation assessment.&nbsp;Ability to mentor junior analysts and promote adherence to analytic best practices.&nbsp;Ability to manage multiple projects simultaneously, prioritize tasks, and escalate issues appropriately.&nbsp;Ability to communicate findings effectively to both technical and non-technical stakeholders.&nbsp;<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Tableau Certified Data Analyst or Tableau Desktop SpecialistMicrosoft Certified: Power BI Data Analyst AssociateSnowflake SnowPro Core CertificationSnowPro® Specialty: Snowpark CertificationSQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)Certified Health Data Analyst (CHDA)Managed Care Professional (MCP) or relevant certification.<h4>Required Training</h4>General Skills Preferred:Proficient with Process Improvement Methodology including defining and documenting workflow.&nbsp;Knowledge of program and project level planning, mobilization and managementDomain Specific Experience and Skills: Domain Focus: Population Health AnalyticsRequired: Experience analyzing community supports, care management, health education, Managed Long-Term Support Services (MLTSS), and intervention programs. Experience translating data into actionable insights to guide interventions, resource allocation, program improvements, and new ideas for member programs based on population needs. Knowledge of population health management frameworks and social determinants of health. Ability to evaluate population level outcomes and operational performance metrics. Preferred: Experience understanding and responding to ongoing California Department of Health Care Services (DHCS) requirements for various programs, such as CalAIM. Domain Focus: Quality Improvement AnalyticsRequired: Experience analyzing Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality measurement programs across both medical and pharmacy domains. Experience translating data into actionable insights to inform interventions, compliance, and performance improvement strategies. Knowledge of quality measurement frameworks, regulatory requirements, and reporting standards. Ability to evaluate performance metrics, trends, and gaps to support quality improvement initiatives.Preferred: Experience supporting quality reporting requirements and initiatives for regulatory or accreditation programs (e.g., CMS, DHCS).Experience supporting provider focused incentive program analytics. Preferred Certification: Certified Professional in Healthcare Quality (CPHQ)<h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Domain Specific Experience and Skills:Domain Focus: Access to Care AnalyticsRequired: Experience analyzing appointment timeliness, access, and provider availability. Experience translating data into actionable insights to improve access, reduce barriers, and optimize provider scheduling. Experience supporting initiatives to improve network adequacy and member access, including operational interventions and performance monitoring. Knowledge access measurement frameworks and regulatory requirements. Ability to evaluate member access metrics, network capacity, and operational performance. Domain Focus: Enterprise Support AnalyticsRequired: Experience supporting enterprise level KPI maintenance, cross domain dashboards, and measure ROI analyses. Ability to develop analytic tools and dashboards that consolidate insights across multiple domains. Experience translating data into actionable insights for strategic investments, operational decisions, and organizational performance monitoring. Knowledge of analytics frameworks, governance standards, and enterprise reporting processes.Preferred: Experience supporting talent development analytics or enterprise-wide strategic initiative evaluation.Domain Focus: Member Experience AnalyticsRequired: Experience analyzing call center operations, enrollment services, and appeals &amp; grievances. Experience translating data into actionable insights to improve member experience and member engagement operations. Knowledge of Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys or other member satisfaction measurement tools. Ability to assess member touchpoints, satisfaction metrics, and operational KPIs.Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicaid, Medical Coding, Pharmacy, Call Center, Insurance, Healthcare, Customer Service

Salary Range:&nbsp;&nbsp;$88,854.00&nbsp;(Min.) -&nbsp;$115,509.00&nbsp;(Mid.) -&nbsp;$142,166.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Enterprise Data Analyst III serves as a Subject Matter Expert (SME) contributor responsible for leading complex analytic projects that link insights directly to enterprise goals, resource allocation, and performance improvement. This position leads the full analytic development process from business case definition and structured scoping through peer review, deployment, and post-implementation evaluation, ensuring high-quality, reproducible, and impactful outputs.The Analyst III applies advanced analytic reasoning and strong business acumen to deliver analyses that inform both operational and financial decision making. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp; <h4>Duties</h4>Leads end-to-end analytic development, from structured business case definition and requirements gathering to delivery of validated, actionable insights.Conducts advanced analyses evaluating drivers of quality, operational efficiency, and financial performance.Coordinates with IT and product owners to ensure analytic outputs are integrated into enterprise systems and recurring workflows.Develops, optimizes, and automates analytic assets (data models, dashboards, reports) following enterprise design and refresh standards.Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.Maintains awareness of data lineage and governance compliance throughout all analytic work.Manages project planning, tracking, and post-implementation assessment for assigned deliverables.Mentors and models adherence to analytic development best practices.Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.Perform other duties as assigned.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree<h4>Experience</h4>Required:At least 4 years of experience in analytics, with substantial exposure to healthcare operations, managed care, or population health.Experience leading end-to-end analytic projects, including requirements gathering, data validation, analysis, and delivery of insights.Experience analyzing multiple data sources and translate findings into actionable recommendations.Preferred:Experience with advanced analytics techniques, including multivariate analysis, regression, control charts, or predictive modeling.Experience in domain specific operations, such as network strategy, risk adjustment, or medical cost driver analysis.Experience mentoring junior analysts or providing guidance on analytic best practices.Proficient with Process Improvement Methodology including defining and documenting workflow.&nbsp;Knowledge of program and project level planning, mobilization and management<h4>Skills</h4>RequiredExpert in SQL for complex exploratory analysis, data modeling, and Extract, Transform, and Load (ETL) processes supporting enterprise dashboards, reports, and analytic deliverables.&nbsp;Advanced proficiency in Tableau (or equivalent BI tools) to design, optimize, and automate dashboards and visualizations for enterprise level insights.Strong statistical and analytical skills, including multivariate analyses, regression, and control charts to identify drivers of operational, clinical, and financial performance.Knowledge of version control (Git, GitHub) and collaborative development workflows, including peer review, continuous integration, and reproducible analytic practices.Ability to develop and maintain reusable analytic frameworks, templates, and processes that support recurring reporting and performance monitoring.&nbsp;Proficiency in data validation, reconciliation, and adherence to governance standards, including data lineage tracking and quality control.Ability to translate complex business problems into structured analytic requirements and actionable insights.&nbsp;Ability to interpret analytic results in the context of organizational performance, operational priorities, and enterprise goals.&nbsp;Ability to apply critical thinking to identify patterns, opportunities, and risks across multiple data domains.&nbsp;Ability to collaborate effectively with IT, operational teams, and business partners to operationalize analytic outputs.&nbsp;Demonstrated knowledge of healthcare concepts, such as quality measures, utilization patterns, and key operational drivers in a managed care environment.Ability to lead analytic projects end-to-end, including business case definition, requirements gathering, analysis, and post-implementation assessment.&nbsp;Ability to mentor junior analysts and promote adherence to analytic best practices. Ability to manage multiple projects simultaneously, prioritize tasks, and escalate issues appropriately. Ability to communicate findings effectively to both technical and non-technical stakeholders.&nbsp;<h4>Domain Specifics</h4>Domain Specific Experience and Skills:Domain Focus: Authorization &amp; Claims Operations AnalyticsRequired: Experience with Utilization Management (UM) authorization workflows and prior authorization metrics. Knowledge of claims operations, including receiving, adjudication, and provider dispute resolution. Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams. Ability to analyze operational Key Performance Indicators (KPIs) (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.Domain Focus: Network Strategy AnalyticsRequired: Experience supporting initiatives to optimize cost, access, and quality within provider networks. Experience analyzing provider networks, including contracting, credentialing, and panel optimization. Ability to evaluate network performance metrics and translate findings into actionable insights for strategy and business planning.Domain Focus: Risk Adjustment AnalyticsRequired: Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring. Knowledge of diagnosis documentation, encounter data, and coding completeness to optimize plan revenue and quality scores. Knowledge of regulatory requirements impacting risk adjustment (e.g., Centers for Medicare and Medicaid Services (CMS) guidelines). Ability to assess encounter submission and processing operations, identifying trends, anomalies, or gaps in risk capture across provider or member populations.Preferred Certification: AAPC Certified Risk Adjustment Coder (CRC®); Practice Management Institute Certified Risk Adjustment and HCC Coder (CRA-HCC™); NAMAS Certified HCC Coder (CHCC™); AHIMA Certified Coding Specialist (CCS®)Domain Focus: Medical Cost Driver AnalyticsRequired: Experience analyzing medical cost drivers across populations, conditions, and service types. Experience developing dashboards or analytic tools to monitor and optimize medical spend. Knowledge of claims, provider, and condition level analyses to support financial and operational decision making. Ability to identify high-cost services, utilization patterns, and opportunities for cost containment.<h4>Domain Specifics</h4>Domain Specific Experience and Skills: Domain Focus: Population Health AnalyticsRequired: Experience analyzing community supports, care management, health education, Managed Long-Term Support Services (MLTSS), and intervention programs. Experience translating data into actionable insights to guide interventions, resource allocation, program improvements, and new ideas for member programs based on population needs. Knowledge of population health management frameworks and social determinants of health. Ability to evaluate population level outcomes and operational performance metrics. Preferred: Experience understanding and responding to ongoing California Department of Health Care Services (DHCS) requirements for various programs, such as CalAIM. Domain Focus: Quality Improvement AnalyticsRequired: Experience analyzing Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality measurement programs across both medical and pharmacy domains. Experience translating data into actionable insights to inform interventions, compliance, and performance improvement strategies. Knowledge of quality measurement frameworks, regulatory requirements, and reporting standards. Ability to evaluate performance metrics, trends, and gaps to support quality improvement initiatives.Preferred: Experience supporting quality reporting requirements and initiatives for regulatory or accreditation programs (e.g., CMS, DHCS).Experience supporting provider focused incentive program analytics. Preferred Certification: Certified Professional in Healthcare Quality (CPHQ)<h4>Domain Specifics</h4>Domain Specific Experience and Skills:Domain Focus: Access to Care AnalyticsRequired: Experience analyzing appointment timeliness, access, and provider availability. Experience translating data into actionable insights to improve access, reduce barriers, and optimize provider scheduling. Experience supporting initiatives to improve network adequacy and member access, including operational interventions and performance monitoring. Knowledge access measurement frameworks and regulatory requirements. Ability to evaluate member access metrics, network capacity, and operational performance. Domain Focus: Enterprise Support AnalyticsRequired: Experience supporting enterprise level KPI maintenance, cross domain dashboards, and measure ROI analyses. Ability to develop analytic tools and dashboards that consolidate insights across multiple domains. Experience translating data into actionable insights for strategic investments, operational decisions, and organizational performance monitoring. Knowledge of analytics frameworks, governance standards, and enterprise reporting processes.Preferred: Experience supporting talent development analytics or enterprise-wide strategic initiative evaluation.Domain Focus: Member Experience AnalyticsRequired: Experience analyzing call center operations, enrollment services, and appeals &amp; grievances. Experience translating data into actionable insights to improve member experience and member engagement operations. Knowledge of Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys or other member satisfaction measurement tools. Ability to assess member touchpoints, satisfaction metrics, and operational KPIs.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Tableau Certified Data Analyst or Tableau Desktop SpecialistMicrosoft Certified: Power BI Data Analyst AssociateSnowflake SnowPro Core CertificationSnowPro® Specialty: Snowpark CertificationSQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)Certified Health Data Analyst (CHDA)Managed Care Professional (MCP) or relevant certification.<h4>Physical Requirements</h4>LightSalary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicaid, Medical Coding, Medicare, Pharmacy, Insurance, Healthcare

Salary Range:&nbsp;&nbsp;$102,183.00&nbsp;(Min.) -&nbsp;$132,838.00&nbsp;(Mid.) -&nbsp;$163,492.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Solutions and Data Analyst III serves as a Subject Matter expert (SME), technical and analytic integrator, responsible for designing, developing, and operationalizing advanced analytic solutions that drive strategic insight and organizational performance. This position combines strong data engineering fluency with analytical acumen transforming complex, multi-domain data (membership, encounters, providers, claims, quality metrics) into interpretable and actionable insights used by leaders across the health plan.This position emphasizes the development of insight rich, production ready analytic assets, delivering repeatable, governed analyses that illuminate key drivers of care quality, efficiency, and financial outcomes.&nbsp;Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp;&nbsp; <h4>Duties</h4>Designs and maintains reusable analytic data models and Extract, Transform, and Load (ETL) pipelines that support recurring insight generation and performance monitoring.Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performances opportunities across enterprise domains.Partners with analysts, data scientists, and operational stakeholders to embed insights directly into workflows and decision processes.Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.Ensures adherence to data lineage, governance, and reproducibility standards across all analytic products.Supports enterprise level measure refresh cycles and ensures alignment with standardized data abstraction layers.Drives continuous enhancement of the analytic ecosystem by integrating new data sources, improving data structures, and optimizing performance.Translates analytic findings into business relevant narratives and partners with stakeholders to act on insights.Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.Performs other duties as assigned.<h4>Duties Continued</h4>Domain Specific Experience and Skills: Domain Focus: Authorization &amp; Claims Operations Analytics Required: Experience with Utilization Management (UM) authorization workflows and prior authorization metrics.Knowledge of claims operations, including receiving, adjudication, and provider dispute resolution.Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams.Ability to analyze operational KPIs (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.Domain Focus: Network Strategy AnalyticsRequired: Experience supporting initiatives to optimize cost, access, and quality within provider networks.Experience analyzing provider networks, including contracting, credentialing, and panel optimization.Ability to evaluate network performance metrics and translate findings into actionable insights for strategy and business planning.Domain Focus: Risk Adjustment AnalyticsRequired: Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring.Knowledge of diagnosis documentation, encounter data, and coding completeness to optimize plan revenue and quality scores.Knowledge of regulatory requirements impacting risk adjustment (e.g., Centers for Medicare and Medicaid Services (CMS) guidelines).Ability to assess encounter submission and processing operations, identifying trends, anomalies, or gaps in risk capture across provider or member populations.Preferred Certifications: AAPC Certified Risk Adjustment Coder (CRC®), Practice Management Institute Certified Risk Adjustment and HCC Coder (CRA-HCC™), NAMAS Certified HCC Coder (CHCC™), AHIMA Certified Coding Specialist (CCS®). Domain Focus: Medical Cost Driver AnalyticsRequired: Experience analyzing medical cost drivers across populations, conditions, and service types.Experience developing dashboards or analytic tools to monitor and optimize medical spend. Knowledge of claims, provider, and condition level analyses to support financial and operational decision making.Ability to identify high-cost services, utilization patterns, and opportunities for cost containment.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree<h4>Experience</h4>Required:At least 5 years of progressive analytics experience in healthcare, managed care, or related industries.Proven experience designing, developing, and operationalizing analytic solutions across multiple domains.Ability to operate with high autonomy, manage complex or ambiguous projects, and influence operational or strategic decisions.Experience translating multi-domain analytics into actionable insights for leadership and enterprise-wide initiatives.Demonstrated successful experience in communicating insights effectively to senior leadership and executives.Preferred:Experience with enterprise level initiatives, such as Key Performance Indicator (KPI) maintenance, cross-domain dashboards, measure ROI, or strategic investment analytics.Strong experience managing care operations, including capitation, provider networks, risk adjustment, or quality incentive programs.<h4>Skills</h4>Required:Expertise in designing, building, and maintaining complex ETL pipelines and analytic data models that support enterprise reporting, dashboards, and predictive insights. Advanced experience with BI tools (Tableau, Power BI) to design insight rich, production ready dashboards and analytic products. Proficiency with SQL and/or Python/R for large-scale data manipulation, advanced analyses, and operationalization of analytic workflows. Strong knowledge of version control (Git/GitHub) and CI/CD processes for analytic code and pipelines. Ability to integrate, optimize, and enhance multiple data sources for performance, governance, and reproducibility. Ability to apply advanced statistical, predictive, and diagnostic methods to uncover drivers of quality, efficiency, and financial outcomes. Deep understanding of managed care operations, such as capitation models, provider networks, utilization management, and quality incentive programs. Ability to translate multi-domain data into actionable insights that directly inform strategic and operational decisions. Ability to conduct root-cause analyses, scenario modeling, and complex problem solving with minimal guidance.Ability to operate with high autonomy, independently defining priorities and managing complex, ambiguous analytic projects. Ability to communicate complex analytic findings effectively to senior leadership, executives, and external stakeholders. Ability to translate insights into actionable recommendations and strategic narratives that influence enterprise decision making. Ability to mentor and guide other analysts, promoting analytic best practices across teams. Ability to drive continuous improvement of analytic tools, data structures, and reporting ecosystems, proactively identifying opportunities to enhance organizational performance.&nbsp;Preferred:Proficient with Process Improvement Methodology including defining and documenting workflow. Knowledge of program and project level planning, mobilization and management.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Tableau Certified Data Analyst or Tableau Desktop SpecialistSnowflake SnowPro Core CertificationSQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)Python Institute PCEP™ or PCAP™ (Python Programming)SnowPro® Specialty: Snowpark CertificationDataCamp Certified Data Analyst (Python or R)HarvardX or Johns Hopkins Data Science Certificate (R)Certified Health Data Analyst (CHDA)Managed Care Professional (MCP) or relevant certification.Certified Analytics Professional (CAP)or related<h4>Required Training</h4>Domain Specific Experience and Skills: Domain Focus: Member Experience AnalyticsRequired: Experience analyzing call center operations, enrollment services, and appeals &amp; grievances.Experience translating data into actionable insights to improve member experience and member engagement operations.Knowledge of Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys or other member satisfaction measurement tools. Ability to assess member touchpoints, satisfaction metrics, and operational KPIs. Domain Focus: Population Health AnalyticsRequired: Experience analyzing community supports, care management, health education, Managed Long Term Support Services (MLTSS), and intervention programs.Experience translating data into actionable insights to guide interventions, resource allocation, program improvements, and new ideas for member programs based on population needs.Knowledge of population health management frameworks and social determinants of health. &nbsp;Ability to evaluate population level outcomes and operational performance metrics.Preferred: Experience understanding and responding to ongoing California Department of Health Care Services (DHCS) requirements for various programs, such as CalAIM. <h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Domain Specific Experience and Skills: Domain Focus: Quality Improvement AnalyticsRequired: Experience analyzing Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality measurement programs across both medical and pharmacy domains.Experience translating data into actionable insights to inform interventions, compliance, and performance improvement strategies.Knowledge of quality measurement frameworks, regulatory requirements, and reporting standards.Preferred: &nbsp;Experience supporting quality reporting requirements and initiatives for regulatory or accreditation programs (e.g., CMS, DHCS). Experience supporting provider focused incentive program analytics. Ability to evaluate performance metrics, trends, and gaps to support quality improvement initiatives.Preferred Certification: Certified Professional in Healthcare Quality (CPHQ) Domain Focus: Access to Care AnalyticsRequired: Experience analyzing appointment timeliness, access, and provider availability.Experience translating data into actionable insights to improve access, reduce barriers, and optimize provider scheduling. Experience supporting initiatives to improve network adequacy and member access, including operational interventions and performance monitoring. Knowledge of access measurement frameworks and regulatory requirements.Ability to evaluate member access metrics, network capacity, and operational performance. Domain Focus: Enterprise Support AnalyticsRequired: Experience supporting enterprise level KPI maintenance, cross-domain dashboards, and measure ROI analyses.Experience translating data into actionable insights for strategic investments, operational decisions, and organizational performance monitoring.Knowledge of analytics frameworks, governance standards, and enterprise reporting processes. Ability to develop analytic tools and dashboards that consolidate insights across multiple domains.Preferred: &nbsp;Experience supporting talent development analytics or enterprise-wide strategic initiative evaluation.Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicaid, Medical Coding, Pharmacy, Call Center, Insurance, Healthcare, Customer Service

608 Full Time Jobs in Alhambra, CA, USA