Data & AI Manager — Revenue Growth

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Description

Revenue Growth Management only works when Sales, Marketing and Commercial Excellence are pulling the same lever at the same time. Most Consumer & Retail organizations don't have one person who can sit across all three and turn pricing, promotion and mix into a strategy everyone actually commits to. You want to be that person for our clients: the subject matter expert and trusted partner Sales, Marketing and ComEx bring into the room when RGM strategy needs to be built, not just reported on. As a Data & AI Manager and RGM subject matter expert in our Consumer & Retail practice, you will be the key stakeholder client teams across Sales, Marketing and Commercial Excellence rely on to shape their Revenue Growth Management strategy. You won't run a delivery team — you will own the thinking and the relationship: framing the strategy, challenging assumptions, and briefing Data Engineers, Data Scientists and Solution Architects so what gets built actually holds up commercially. You won't be building the pricing models yourself, but you will need to be fluent enough in elasticity, trade spend and mix economics to shape a strategy, defend it across functions, and know when the data is telling a different story than the client expects. Typical problems you'll work on Pricing strategy & elasticity: price-pack architecture, elasticity modeling, competitive price positioning Promotion effectiveness: promo ROI, trade spend optimization, promotional calendar redesign Net Revenue Management:

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