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

Quick Facts

Data & AI Consultant (Consumer & Retail)

Description

Work with clients from initial discovery through implementation, contributing to proposals, building business cases, leading workstreams, and bridging senior client stakeholders with data engineering and data science teams. Focus on advanced analytics and AI use cases such as forecasting, pricing and elasticity modelling, attribution, and scenario simulations; ensure solutions are aligned to business objectives and capable of delivering measurable value.

Responsibilities

• Shape pursuits and proposals: define the problem, scope the approach, and build the value narrative
• Lead client discovery: facilitate workshops, frame the real problem, define desired outcomes
• Build the business case: identify, prioritize, and size data and AI use cases; translate into business cases with KPIs, investment rationale, and delivery roadmaps
• Own workstream end-to-end: requirements, backlog, data readiness, governance, and value tracking through adoption
• Brief the builders: collaborate with Data Engineers, Data Scientists, and Solution Architects to design scalable solutions (you define what and why; they build the how)
• Tell the story: produce executive-level materials and present recommendations to leadership throughout engagements
• 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, knowledge and insight agents, automation of analysis and reporting

Requirements

• Deep Consumer & Retail expertise (in-industry or consulting) 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; communicate with data scientists/architects; 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 and portal feeds; distributor sell-out
• Comfortable with ambiguity; ownership and drive to outcomes

Nice to have

• Familiarity with Databricks, Snowflake; Azure, GCP, AWS
• Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, RAG)
• Hands-on modelling exposure: hierarchical/time-series forecasting, econometric/elasticity models, optimisation, causal inference, incrementality testing
• Knowledge of enterprise platforms such as SAP, Salesforce, ERP, CRM
• Change management and adoption skills
• Experience with data governance, data quality frameworks, or target operating model design
• Multi-market experience across regional/global CPG operating models

Benefits

• Top tech minds and innovation in AI, cloud, and digital platform modernization
• Supportive team and agile, startup-like culture; hybrid mode and opportunity to work remotely within Poland
• Up to 60 days annually work abroad; business-driven relocation opportunities
• Career development programs, thought leadership, mentoring, and well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers); referral bonuses up to $2,000
• Offices with entertainment and relaxation zones, free snacks, and coffee; corporate social and well-being events