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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