Data & AI Manager — Revenue Growth Management

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.
Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.
Responsibilities
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
Requirements
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
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 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
We offer
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
Salary range €5.6K-€8.5K gross, based on your experience and interview results.
EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300+ talented innovators in just 5 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Work arrangement
Yes