Data & AI Manager (Revenue Growth Management)

Quick Facts

Role focus: Data & AI Manager and RGM subject matter expert for Consumer & Retail revenue growth strategy.

Description

Own the thinking and client relationship for Revenue Growth Management strategy—aligning Sales, Marketing, and Commercial Excellence to build, defend, and track pricing, promotion, and mix plans. You will brief Data Engineers, Data Scientists, and Solution Architects with commercial guardrails so what gets built supports the strategy. You are fluent in pricing/promotion economics (elasticity, trade spend, and mix) and can assess when data changes the expected narrative.

Responsibilities

• Act as the client’s RGM subject matter expert; build trusted, ongoing relationships across Sales, Marketing, and Commercial Excellence.
• Facilitate discovery and translate competing commercial priorities into one clear, prioritized RGM roadmap.
• Build the business case: size RGM opportunities, structure the investment case, and secure leadership sign-off.
• Define requirements and commercial guardrails for data/AI delivery teams and hold the solution accountable to the strategy.
• Track value and ensure adoption of new ways of working across commercial functions.
• Contribute to RGM proposals and presales; build and communicate EPAM’s point of view on Revenue Growth Management.

Benefits

• Hybrid work with opportunity to work remotely within Poland.
• Chance to work abroad up to 60 days annually and business-driven relocation opportunities.
• Career development programs, mentoring, thought leadership, and well-being support.
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes.
• Stable pay, Employee Stock Purchase Plan (15% discount), and benefits package (health insurance, MultiSport, shopping vouchers).
• Referral bonuses up to $2,000.
• Corporate, social, and well-being events; offices with entertainment and relaxation areas.

Requirements

• Deep, hands-on RGM expertise shaping Revenue Growth Management strategy (pricing, promotion, trade spend, or mix) with quantified business impact.
• Proven 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.
• Data and AI literacy to define data/modeling requirements and translate between commercial and technical audiences.
• End-to-end experience from strategy through delivery and adoption, with honest learnings on what worked.
• Comfort working in ambiguity and driving outcomes without waiting for instructions.
• English proficiency at B2 level or higher.