Sr. Manager, Revenue Growth Management

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Head of RGM

North America, United States, New Jersey, Summit

完全リモート

The Senior Manager, Revenue Growth Management will lead analytics‑‑backed, cross‑‑functional strategies for one or more priority categories/channels across five RGM levers:
Strategic Pricing, PPA, Mix Management, GTN optimization, and Commercial Terms. Translate insights into executable plans, coach junior talent, and regularly brief senior leadership and customer teams.

• RGM Blueprint for your category/channel (pricing corridors, promo/terms guardrails, PPA choices, mix plays) with quantified value and execution plan.

• Executive‑level Insight Packs that distill complexity into clear choices and compelling narratives.

• Diagnose & Recommend
  :
  Elasticity, Willingness to Pay, competitive pricing, shopper trends, exposure risk, and P&L impacts; propose strategic pricing moves and cadence.

• Shape PPA & Mix
  :
  Size/format ladders, tiering, and assortment to capture value by channel and customer.

• Run GTN & Terms Routines
  :
  Build customer/SKU GTN (Gross to Net) views; recommend reinvestment; inform discount ladders/trade terms aligned to value.

• Govern Adherence & Learning
  :
  Define guardrails, track execution, lead post‑event reviews and quarterly course corrections.

• Enable with Tools
  :
  Stand up dashboards and decision tools (BI, TPO, elasticity) and drive adoption.

• Coach & Influence
  :
  Mentor managers/analysts; influence Sales/Marketing/Finance and present to senior leaders and customers.

• 7–10 years in CPG RGM/pricing, category management, or commercial finance with hands‑on analytics.

• Advanced command of strategic pricing & promo analytics, PPA and mix

• Strong executive communication and stakeholder influence.

• Strong command of Excel and Power Point

• Experience implementing pricing corridors and mix driven growth

• Experience with RGM capability building and process, tool and data definition creation.

• Demonstrated proficiency in leveraging consumer and retail data sources (e.g., Circana/NielsenIQ, Numerator, retailer portals) to generate insights and inform business decisions, with strong capabilities in TPO/price elasticity analysis, Excel, Power BI/Tableau, and PowerPoint; experience with SQL, Python, or other data modeling tools is an asset

• Prior consulting or internal strategy…