Data & AI Manager — Revenue Growth

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Deep RGM expertise: hands-on experience shaping Revenue Growth Management strategy — pricing, promotion, trade spend or mix — built in-industry or through sustained consulting with CPG/FMCG, retail or wholesale clients, with concrete, quantified business impact
• Trusted partner across the commercial organization: a proven ability to build credibility and long-term relationships across Sales, Marketing and Commercial Excellence, not just one function
• Consulting craft: structured problem-solving, executive-level communication, and comfort building alignment across stakeholders with different priorities
• Data and AI literate: able to define data and modeling requirements, hold a substantive conversation with a data scientist or pricing analyst, and translate between commercial and technical audiences
• End-to-end experience: from strategy through to delivery and adoption, with a clear, honest view of what worked and what didn't
• Comfortable with ambiguity: takes ownership and drives a client to outcomes without waiting to be told what the answer is
• English proficiency at B2 level or higher

Nice to have:

• Familiarity with RGM/pricing platforms (e.g., Revionics, Pricefx, Blue Yonder, Impact Analytics, PROS) or major cloud platforms (Azure, GCP, AWS)
• Experience with advanced analytics or GenAI patterns applied to pricing and promotion (elasticity models, optimization, LLMs, RAG)
• Knowledge of enterprise platforms common in Consumer & Retail environments (SAP, Salesforce, TPM/TPO systems)
• Experience in data governance or target operating model design for commercial functions

• Be the client's RGM subject matter expert: build trusted, ongoing relationships with Sales, Marketing and Commercial Excellence stakeholders as the go-to expert on pricing, promotion and mix strategy
• Shape the strategy: facilitate discovery across Sales, Marketing and ComEx, and translate competing commercial priorities into one clear, prioritized RGM strategy
• Build the business case: size RGM opportunities, structure the investment case, and secure sign-off from client leadership on the roadmap and its sequencing
• Brief the builders: define requirements and commercial guardrails for Data Engineers, Data Scientists and Solution Architects, and hold the solution accountable to the strategy
• Own value tracking: make sure the strategy lands as adopted ways of working across Sales, Marketing and ComEx, not a one-off recommendation
• Grow the practice: contribute to RGM proposals and presales, and build EPAM's point of view on Revenue Growth Management

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