About the Role
The Consumer & Retail practice helps clients develop Revenue Growth Management strategies across Sales, Marketing, and Commercial Excellence, covering pricing, promotions, and product mix.
Responsibilities
•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
Requirements
•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
Nice to Have
•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
Conditions
No conditions specified in the posting.
