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

Quick Facts

You will work with clients from initial discovery through to implementation, helping shape proposals, build business cases, lead workstreams, and act as the link between senior client stakeholders and engineering and data science teams.

Your focus is on advanced analytics and AI use cases such as forecasting, pricing and elasticity modelling, attribution, and scenario simulations. You ensure the right solutions are designed, aligned to business objectives, and capable of delivering measurable value.

Description

You understand the Consumer & Retail industry: commercial dynamics, margin pressures, operational challenges, and complex decision-making processes.

You want to bridge the gap between business needs and practical solutions, working closely with technical teams to ensure ideas become outcomes.

Responsibilities

• Shape pursuits and proposals: define the problem, scope the approach, and build a value narrative
• 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, prioritise and size data and AI use cases; translate 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: define the what and why with Data Engineers, Data Scientists and Solution Architects
• Tell the story: produce clear, executive-level materials and present recommendations throughout the engagement
• 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 with concrete examples of measurable business impact
• Consulting experience: structured problem-solving, stakeholder management, workshop facilitation, executive-level communication
• Data and AI literacy: define data requirements and KPIs; translate between business and technical audiences
• End-to-end agile delivery experience from problem framing and business case through delivery and adoption
• Fluent in CPG data landscape: NIQ/Nielsen, Circana, Kantar, retailer POS/portal feeds, distributor sell-out
• Comfortable with ambiguity; takes ownership and drives outcomes

Benefits

• Supportive team and agile, startup-like culture
• Hybrid by design mode with 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) and English classes
• Stable pay and Employee Stock Purchase Plan participation with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers) and referral bonuses up to $2,000
• Offices with entertainment and relaxation zones, free snacks and coffee, and corporate social well-being events