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

Quick Facts

Data & AI Consultant (Consumer & Retail)

Description

As a Data & AI Consultant within the Consumer & Retail practice, you will work with clients from initial discovery through to implementation. You'll help shape proposals, build business cases, lead workstreams, and act as the link between senior client stakeholders and EPAM's engineering and data science teams. Your focus will be on advanced analytics and AI use cases, including forecasting, pricing and elasticity modelling, attribution, and scenario simulations.

You won't develop the models yourself, but you'll be responsible for ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value. You understand the Consumer & Retail industry: its commercial dynamics, margin pressures, operational challenges, and complex decision-making processes. You want to bridge the gap between business needs and practical solutions, working closely with technical teams to ensure ideas become outcomes.

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
• GenAI-enabled use cases: commercial copilots for category managers and account managers, knowledge and insight agents, automation of analysis and reporting

Requirements

• Deep Consumer & Retail expertise—whether built in-industry or through sustained consulting work—with concrete examples of measurable business impact
• Consulting experience: structured problem-solving, stakeholder management, workshop facilitation and executive-level communication
• Data and AI literate: able to define data requirements and KPIs, hold a substantive conversation with a data scientist or architect, and translate between business and technical audiences
• End-to-end agile delivery experience: from problem framing and business case through to delivery and adoption into a recurring planning or commercial process
• Fluent in CPG data landscape: syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out
• Comfortable with ambiguity, takes ownership and drives to outcomes

Nice to have

• Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP or AWS)
• Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, RAG)
• Hands-on exposure to modelling families behind this work (hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference, incrementality testing)
• Knowledge of enterprise platforms common in Consumer & Retail environments, such as SAP, Salesforce or major ERP and CRM systems
• Change management and adoption skills
• Experience in data governance, data quality frameworks or target operating model design
• Multi-market experience

Benefits

• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events

Please, note: Benefits listed above are available to employees only.

We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually.