Data & AI Consulting Manager / Senior Manager in Consumer & Retail - German Market

• Deep Consumer & Retail expertise from industry experience or consulting with measurable business impact examples
• Consulting experience including structured problem-solving, stakeholder management, workshop facilitation, and executive communication
• Data and AI literacy to define requirements and KPIs and translate between business and technical audiences
• End-to-end agile delivery experience from problem framing through to delivery and adoption into recurring processes
• Fluent understanding of CPG data landscape including transaction, product, customer (CRM & loyalty), syndicated and panel data, retailer POS, distributor sell-out
• Comfortable managing ambiguity and driving outcomes independently
• Fluent in German is a strong plus but not mandatory; ability to engage in basic German conversation preferred

Nice to have:

• Familiarity with data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP, AWS) and data/AI solution architectures
• Experience with advanced analytics or GenAI patterns such as forecasting, recommendation engines, optimization, LLMs, and RAG
• Hands-on exposure to modeling families including hierarchical/time-series forecasting, econometrics, elasticity models, optimization, causal inference, and incrementality testing
• Knowledge of enterprise platforms common in Consumer & Retail such as SAP, Salesforce, ERP, and CRM systems
• Change management and adoption skills to ensure solution uptake
• Experience in data governance, data quality frameworks, or target operating model design
• Multi-market experience with regional or global CPG operating models and associated data/process variations

• Shape pursuits and proposals by contributing to presales, defining problems, scoping approaches, and building EPAM's value narrative for Consumer & Retail clients
• Lead client discovery through workshops with commercial, category, and supply chain leadership to identify the real problem and define success
• Build business cases by prioritizing and sizing data and AI use cases with KPIs, investment rationale, and delivery roadmaps for approval
• Own the end-to-end workstream including requirements, backlog, data readiness, governance, and value tracking through adoption
• Brief Data Engineers, Data Scientists, and Solution Architects on solution design, defining what and why, while they build how
• Produce clear executive-level materials and present recommendations to leadership throughout engagements
• Manage pricing and promotions use cases including elasticity modeling, promotional effectiveness, trade spend optimization, and net revenue management
• Support merchandising and category analytics such as assortment optimization, product performance, markdowns, and clearance
• Drive customer and growth analytics like segmentation, CLV, churn/retention, personalization, and next-best-action
• Oversee demand and supply chain analytics including forecasting, replenishment, availability, and fulfillment
• Develop GenAI-enabled use cases such as commercial copilots for category and account managers, knowledge and insight agents, 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. This position is based in Poland. Benefits listed are for employees only. B2B contractor terms are negotiated individually. Only selected candidates will be contacted.