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

• Deep Consumer & Retail expertise with measurable business impact in industries such as retail, CPG/FMCG, eCommerce, or wholesale
• Consulting experience including structured problem-solving, stakeholder management, workshop facilitation, and executive communication
• Data and AI literacy: ability to define data requirements and KPIs, engage substantively with data scientists or architects, and translate between business and technical audiences
• End-to-end agile delivery experience from framing to adoption into operational processes
• Fluency in CPG data landscape including syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out
• Comfortable with ambiguity and proactive in driving outcomes independently

Nice to have:

• Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP, AWS)
• Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, retrieval-augmented generation)
• Hands-on exposure to modelling types like hierarchical 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 to ensure solutions are used effectively
• Experience in data governance, data quality frameworks, or target operating model design
• Multi-market experience working with regional or global CPG models

• Shape pursuits and proposals: contribute to presales from the start by defining the problem, scoping the approach, and building EPAM’s value narrative for Consumer & Retail clients
• Lead client discovery: facilitate workshops with commercial, category, and supply chain leadership to frame the real problem and define successful outcomes
• Build the business case: identify, prioritise and size data and AI use cases; translate them into business cases with KPIs, investment rationale, and delivery roadmaps
• Own the workstream end-to-end: manage requirements, backlog, data readiness, governance, and value tracking through to adoption
• Brief the builders: collaborate with Data Engineers, Data Scientists and Solution Architects to design scalable solutions defining the what and why
• Tell the story: produce clear executive-level materials and present recommendations to leadership
• Manage specific use cases including pricing & promotions (elasticity modelling, promotional effectiveness), merchandising & category (assortment optimisation, markdown), customer & growth (segmentation, CLV, churn), demand & supply chain (forecasting, replenishment), and GenAI-enabled use cases such as commercial copilots and automation of analysis and reporting

EPAM is a global leader in AI transformation engineering and integrated consulting serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.