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

Responsibilities

• Shape pursuits and proposals: contribute to presales from the start — 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, frame the real problem — not just the stated one — and define what a good outcome looks like
• 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 that get sign-off
• Own the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoption
• Brief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design scalable solutions — you define the what and why, they build the how
• Tell the story: produce clear, executive-level materials and present recommendations to leadership throughout the engagement
• Pricing & promotions: elasticity modelling, promotional effectiveness, trade spend optimisation, net revenue management
• Merchandising & category: assortment optimisation, product performance, markdown and clearance
• Customer & growth: segmentation, CLV, churn/retention, personalisation, next-best-action
• Demand & supply chain: demand forecasting and sensing, replenishment, availability and fulfilment analytics

Languages