Sr. Manager, Revenue Growth Management (RGM)

Sr. Manager, Revenue Growth Management (RGM)

US-CA-Ontario

Job ID: 2026-9137
Type: Regular Full-Time
# of Openings: 1
Ontario (Corporate Office)

Overview

As Senior Manager of Revenue Growth Management (RGM) at Ajinomoto Foods North America, you will help execute revenue management strategies across pricing, promotion, assortment, and trade investment to drive profitable growth and strengthen price realization across brands, channels, and customers.

The Senior Manager will partner with Sales, Finance, Marketing, Category Management, and Supply Chain to bring RGM principles into day-to-day commercial decisions, supporting pricing, promotional investment, and portfolio mix initiatives that deliver on margin and revenue objectives.

The role will also contribute to building scalable RGM frameworks, analytical & AI tools, and playbooks that strengthen RGM as a trusted capability across the commercial organization.

Responsibilities

• Revenue Growth Strategy Execution: Support execution of RGM strategies across pricing, promotion, assortment, and trade investment. Translate growth and profitability objectives into category-, channel-, and customer-level actions, and identify revenue opportunities through pricing analysis and portfolio mix optimization.
• Trade Spend Planning & ROI Optimization: Support planning, allocation, and optimization of trade investments using ROI analysis and scenario modeling. Help maintain investment guardrails and performance benchmarks, and partner with Sales and Finance to align trade spend with annual planning and profitability targets
• Price-Pack-Architecture: Support price-pack architecture across brands, channels, and customer segments. Apply elasticity analysis, price ladder reviews, and cross-elasticity insights to inform price corridors, reduce cannibalization, and identify premiumization and mix opportunities.
• Promotion Optimization: Evaluate promotional strategies using demand analysis, elasticity, and incremental lift measurement. Build event-level evaluation frameworks that quantify baseline, lift, halo, and cannibalization, and apply test-and-learn approaches to refine promotional mechanics, depth, and frequency across channels.
• Advanced Analytics & Machine Learning Application: Apply statistical analysis and modeling to commercial datasets including POS, shipment, and syndicated sources (e.g., Circana, Nielsen, SPINS). Build demand analyses covering price elasticity, promotional response, and cannibalization, and use scenario modeling to translate outputs into clear commercial recommendations.
• Commercial Systems & Data Infrastructure: Partner with IT, data engineering, and analytics teams to support RGM technology platforms and data infrastructure. Help define data requirements and contribute to data quality and analytics workflows that support reporting, modeling, and decision-support tools.
• TPM/TPO Expertise: Use Trade Promotion Management (TPM) platforms (e.g., SAP TPM, XTEL, Salesforce TPM, Visualfabriq) to support visibility and governance of trade investments, and help integrate TPM workflows with financial planning, deduction management, and commercial planning.
• Apply Trade Promotion Optimization (TPO) capabilities to evaluate event performance, run scenario modeling, and refine promotional calendars. Use “what-if” simulations to identify mechanics, depth, and frequency that improve incremental revenue and trade ROI.
• Performance Measurement & Insights Delivery: Support RGM performance measurement covering price realization, trade productivity, promotional effectiveness, mix, and gross margin. Help maintain KPIs and scorecards for consistent evaluation across categories, customers, and channels
• Build automated reports and dashboards (e.g., Power BI, Tableau) that provide visibility into commercial performance and translate analytics into clear insights for leadership.
• Cross-Functional Integration & Enablement: Collaborate across Sales, Category Management, Finance, Demand Planning, and Supply Chain to bring RGM insights into IBP, S&OP, and customer planning cycles. Act as a connection point between analytics and commercial execution by translating insights into customer-level actions and measurable outcomes.

Qualifications

• Education: Bachelor’s degree in finance, Business, Economics, Computer Science, Data Analytics, or a related discipline. An MBA or advanced degree is strongly preferred.
• Experience: Minimum of 8 years of progressive experience in Revenue Growth Management, Sales or Retail Finance, Commercial Strategy, or related analytics functions within CPG, retail, or consumer-facing industries. Working knowledge of key RGM levers including trade promotion, pricing, PPA, demand forecasting, and portfolio mix.

• Experience using syndicated data (e.g., Circana, Nielsen, SPINS) to inform pricing, promotion, and assortment decisions. Familiarity with TPM/TPO platforms (e.g., SAP TPM, XTEL, Visualfabriq, Salesforce TPM) preferred.

• Strategic Thinker: Hypothesis-driven thinker who can identify and evaluate opportunities through structured problem solving and scenario planning.

• Analytical Acumen: Strong quantitative skillset with the ability to synthesize complex data into clear insights and actionable strategies. Proficiency in advanced analytical tools and languages such as SQL, Python, or R, and visualization platforms like Tableau, Power BI, or similar.

• Team Leadership & Talent Development: Experience collaborating with cross-functional teams and, where applicable, mentoring junior analysts. Contributes to a culture of accountability, collaboration, and continuous improvement.

• Influence & Stakeholder Management: Comfortable working across complex organizations and building partnerships across Sales, Marketing, Finance, and Supply Chain.

• Executive Communication: Strong written and verbal communication skills, with the ability to craft clear narratives and deliver insights that resonate with senior audiences. Comfortable presenting recommendations and trade-offs to leadership.

• Performance Orientation: Results-driven, with a track record of contributing to revenue growth, trade investment improvements, and customer/channel strategies

• #INDONT
• Pay range $151,000 to $185,000 DOE

PI284180053