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

About the Position

We are seeking a Data & AI Consulting Manager / Senior Manager in Consumer & Retail to bridge business needs with practical data and AI solutions.

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, prioritize, 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 modeling, promotional effectiveness, trade spend optimization, net revenue management.
• Merchandising & category: Assortment optimization, product performance, markdown, and clearance.
• Customer & growth: Segmentation, CLV, churn/retention, personalization, next-best-action.
• Demand & supply chain: Demand forecasting and sensing, replenishment, availability, and fulfillment 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 retailers, CPG/FMCG, eCommerce, or wholesale clients - 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, with a clear view of what worked and what didn’t.
• Fluent in CPG data landscape: Syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out, and the practical experience working with them.
• Comfortable with ambiguity: Takes ownership and drives to outcomes without waiting to be told what the answer is.

Nice to Have

• Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP, or AWS) and how data and AI solutions are architected and deployed on them.
• Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimization, LLMs, RAG) in a Consumer & Retail context.
• Hands-on exposure to the modeling families behind this work - hierarchical and time-series forecasting, econometric and elasticity models, optimization, causal inference, and 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: Ensuring that solutions land and are actually used, not just delivered.
• Experience in data governance, data quality frameworks, or target operating model design is a plus.
• Multi-market experience - working across a regional or global CPG operating model, with the data and process differences that come with it.

We Offer

• For your comfortable work:

  • Remote and hybrid work opportunities
  • Option to work from our centrally located office in Athens
  • Corporate laptop provided
  • Private health insurance
  • Meal vouchers / restaurant tickets
  • My Benefit card (264€/year)
  • Monthly public transportation card

• For your growth:

  • Global and diverse client portfolio, large-scale projects, and trendy technologies
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunity to contribute to internal and open-source products
  • Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
  • Possibility to create a Personal Development Plan from the first day in the company
  • Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
  • Certification opportunities
  • Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
  • Language courses

About the Company

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