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, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Deep RGM expertise with hands-on experience shaping Revenue Growth Management strategy in pricing, promotion, trade spend or mix with concrete, quantified business impact
• Proven ability to build credibility and long-term relationships across Sales, Marketing and Commercial Excellence
• Structured problem-solving, executive-level communication skills, and ability to build alignment among stakeholders with different priorities
• Data and AI literacy: able to define data and modeling requirements, converse with Data Scientists and pricing analysts, and translate between commercial and technical audiences
• End-to-end experience from strategy through delivery and adoption, with insight into what worked and what didn't
• Comfortable with ambiguity and proactive in driving client outcomes

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 Generative AI patterns applied to pricing and promotion (elasticity models, optimization, large language models, retrieval-augmented generation)
• Knowledge of enterprise platforms common in Consumer & Retail (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

Benefits listed are available to employees only. The company is open to contractors with B2B cooperation agreements negotiated individually. Only selected candidates will be contacted. By applying, candidates consent to personal data processing according to EPAM Systems' privacy policy.