data & AI manager in Revenue Growth Management

The Consumer & Retail practice helps clients develop Revenue Growth Management strategies across Sales, Marketing, and Commercial Excellence, covering pricing, promotions, and product mix.

• Build trusted, ongoing relationships with client stakeholders across Sales, Marketing, and Commercial Excellence as the RGM expert on pricing, promotion, and mix strategy
• Facilitate discovery across Sales, Marketing, and Commercial Excellence and translate competing priorities into a clear, prioritized RGM strategy
• Size RGM opportunities, structure investment cases, and secure client leadership sign-off on roadmaps and sequencing
• Define requirements and commercial guardrails for Data Engineers, Data Scientists, and Solution Architects, and hold solutions accountable to the strategy
• Ensure the strategy is adopted across Sales, Marketing, and Commercial Excellence as ways of working, not just a one-off recommendation
• Contribute to RGM proposals and presales, and develop EPAM’s point of view on Revenue Growth Management

• Hands-on experience shaping Revenue Growth Management strategy across pricing, promotion, trade spend, or mix, gained in industry or through sustained consulting with CPG/FMCG, retail, or wholesale clients, with concrete, quantified business impact
• Ability to build credibility and long-term relationships across Sales, Marketing, and Commercial Excellence
• Structured problem-solving, executive-level communication, and ability to align stakeholders with different priorities
• Ability to define data and modeling requirements, discuss them substantively with data scientists or pricing analysts, and translate between commercial and technical audiences
• End-to-end experience from strategy through delivery and adoption, with a clear view of what worked and what did not
• Ability to take ownership and drive client outcomes in ambiguous situations
• English proficiency at B2 level or higher
• Будет плюсом: familiarity with RGM/pricing platforms such as Revionics, Pricefx, Blue Yonder, Impact Analytics, or PROS, or cloud platforms such as Azure, GCP, or AWS; experience applying advanced analytics or GenAI to pricing and promotion, including elasticity models, optimization, LLMs, or RAG; knowledge of enterprise platforms common in Consumer & Retail, including SAP, Salesforce, and TPM/TPO systems; experience in data governance or target operating model design for commercial functions

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