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

Quick Facts

• Work with clients from discovery through to implementation within a Consumer & Retail practice.
• Shape proposals, build business cases, lead workstreams, and connect senior client stakeholders with engineering and data science teams.

Description

As a Data & AI Consultant, you help design advanced analytics and AI use cases in Consumer & Retail, including forecasting, pricing and elasticity modelling, attribution, and scenario simulations. While you won’t develop the models yourself, you ensure the right solutions are designed, aligned to business objectives, and capable of delivering measurable value. You bridge the gap between business needs and practical solutions by partnering with technical teams to turn ideas into outcomes.

Responsibilities

• Shape pursuits and proposals: contribute to presales 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; frame the real problem; define what a good outcome looks like.
• Build the business case: identify, prioritize 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: 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.
• 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 (in-industry or through sustained consulting work) with concrete examples of measurable business impact.
• Consulting experience in structured problem-solving, stakeholder management, workshop facilitation and executive-level communication.
• Data and AI literacy: define data requirements and KPIs; have substantive conversations with data scientists or architects; translate between business and technical audiences.
• End-to-end agile delivery experience from problem framing and business case through delivery and adoption into a recurring planning or commercial process.
• Fluency in CPG data landscape: syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out.
• Comfortable with ambiguity; take ownership and drive 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 in Consumer & Retail context (forecasting, recommendation engines, optimisation, LLMs, RAG).
• Hands-on exposure to modelling families: hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference and incrementality testing.
• Knowledge of enterprise platforms 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.

We offer

• Top tech minds driving innovation in AI, cloud and digital platform modernization.
• Supportive team and agile, startup-like culture.
• Hybrid by design mode; 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.