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

Quick Facts

Quick Facts

Description

As a Data & AI Consultant within a Consumer & Retail practice, you work with clients from initial discovery through to implementation. You help 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 advanced analytics and AI use cases such as forecasting, pricing and elasticity modelling, attribution, and scenario simulations, ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value.

Responsibilities

• Shape pursuits and proposals: contribute to presales—define the problem, scope the approach, and build a value narrative for Consumer & Retail clients.
• Lead client discovery: facilitate workshops, frame the real problem, 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 for sign-off.
• Own the workstream end-to-end: requirements, backlog, data readiness, governance, and value tracking through to adoption.
• Brief the builders: collaborate with Data Engineers, Data Scientists and Solution Architects to design scalable solutions; define what and why.
• 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 and account managers, knowledge and insight agents, and automation of analysis and reporting.

Requirements

• Deep Consumer & Retail expertise (in-industry or sustained consulting) with concrete examples of measurable business impact.
• Consulting experience in structured problem-solving, stakeholder management, workshop facilitation, and executive-level communication.
• Data and AI literacy to define data requirements and KPIs 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 recurring planning or commercial processes.
• Fluency in the CPG data landscape: syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out.
• Comfortable with ambiguity; ownership and drive to outcomes.

Nice to have

• Familiarity with data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP, AWS).
• Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, RAG) in a Consumer & Retail context.
• Hands-on exposure to modelling families: hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference and incrementality testing.
• Knowledge of enterprise platforms common in Consumer & Retail environments (SAP, Salesforce, major ERP and CRM systems).
• Change management and adoption skills.
• Experience in data governance, data quality frameworks, or target operating model design.
• Multi-market experience across regional/global CPG operating models.

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 participation in an Employee Stock Purchase Plan with a 15% discount.
• Benefits package (health insurance, multisport, shopping vouchers).
• Referral bonuses up to $2,000.
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more.
• Corporate, social and well-being events.
• Please, note: Benefits listed above are available to employees only. Open for working with Contractors; B2B cooperation terms agreed individually.