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October 1, 2026

Data & AI Consulting Manager / Senior Manager (Consumer & Retail, German Market)

Senior • On-site

Krakow, Poland

Quick Facts

  • Role: Data & AI Consulting Manager / Senior Manager in Consumer & Retail (German market)

Description

You will lead data and AI consulting engagements for Consumer & Retail clients, bridging senior stakeholders and engineering/data science teams to turn business problems into production solutions that are built and adopted. You will own the workstream end-to-end—from discovery and business case to requirements, governance, and measurable value tracking—especially across advanced predictive analytics and GenAI-enabled use cases. You are responsible for selecting the right modeling approach, defining accuracy targets, and ensuring outcomes are measured against business goals.

Responsibilities

  • Shape pursuits and proposals from the start (problem definition, scoping, value narrative)
  • Lead client discovery workshops to frame the real business problem and define success criteria
  • Build and size data/AI use cases with KPIs, investment rationale, and delivery roadmaps for sign-off
  • Own workstream end-to-end: requirements, backlog, data readiness, governance, and value tracking through adoption
  • Collaborate with Data Engineers, Data Scientists, and Solution Architects to define the “what and why” for scalable solutions
  • Produce executive-level materials and present recommendations throughout the engagement
  • Drive analytics use cases across pricing & promotions, merchandising/category, customer growth, and demand & supply chain

Requirements

  • Deep Consumer & Retail expertise with concrete, measurable business impact
  • Consulting experience in structured problem-solving, stakeholder management, workshop facilitation, and executive communication
  • Data and AI literacy to define data requirements and KPIs and translate between business and technical stakeholders
  • End-to-end agile delivery experience through adoption into recurring business processes
  • Fluency with the CPG data landscape (transaction/order data, product data, customer data, syndicated/panel data, retailer POS/portal feeds, distributor sell-out)
  • Comfortable with ambiguity; ownership-driven delivery to outcomes
  • Fluent in German (not mandatory); ability to engage with clients in German is a strong plus

Benefits

  • Stable pay and participation in an Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000 and corporate social/well-being events
  • Hybrid-by-design mode with opportunity for remote work within Poland
  • Chance to work abroad for up to 60 days annually and business-driven relocation opportunities
  • Career development programs, mentoring, soft skills and well-being programs, and certifications (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes

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