[Hiring] Data & AI Manager @EPAM Systems

Role 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.

Qualifications

• 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

Requirements

• 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

Company Description