Data & AI Consulting Manager / Senior Manager in Consumer & Retail

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

• Deep Consumer & Retail expertise with measurable business impact in retail, CPG/FMCG, eCommerce, or wholesale
• Consulting experience in structured problem-solving, stakeholder management, and executive communication
• Data and AI literacy to define data requirements, KPIs, and translate between business and technical teams
• End-to-end agile delivery experience from business case to adoption
• Fluency with CPG data including syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds
• Comfortable with ambiguity and self-driven to drive outcomes

Nice to have:

• Familiarity with data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP, AWS)
• Experience with advanced analytics or GenAI patterns like forecasting, recommendation engines, LLMs, and RAG
• Hands-on exposure to hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference
• Knowledge of enterprise platforms such as SAP, Salesforce, ERP and CRM systems
• Change management and adoption skills
• Experience with data governance, data quality frameworks, or target operating models
• Multi-market experience in regional/global CPG operating models

• Shape pursuits and proposals: contribute to presales by defining problems, scoping approaches, and building EPAM’s value narrative
• Lead client discovery: facilitate workshops to identify real problems and define good outcomes
• Build business cases: identify, prioritise, and size data and AI use cases with KPIs and delivery roadmaps
• Own workstreams end-to-end: manage requirements, backlog, data readiness, governance, and value tracking through adoption
• Brief builders: collaborate with Data Engineers, Data Scientists, and Solution Architects to design scalable solutions
• Produce executive-level materials and present recommendations to leadership
• Apply domain expertise in pricing & promotions, merchandising, customer growth, demand & supply chain analytics
• Utilize GenAI-enabled use cases such as commercial copilots, knowledge agents, and automation of analysis and reporting

By applying, candidates consent to personal data processing by EPAM Systems (Poland) for recruitment purposes according to the Privacy Policy. Benefits listed are available to employees only. Contractor terms for B2B cooperation are agreed individually. Only selected candidates will be contacted. Not open for hiring Ukrainians.