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

As a Data & AI Consultant within our Consumer & Retail practice, you will work with clients from initial discovery through to implementation. You'll help shape proposals, build business cases, lead workstreams, and act as the link between senior client stakeholders and EPAM's engineering and data science teams.

Your focus will be on advanced analytics and AI use cases, including forecasting, pricing and elasticity modelling, attribution, and scenario simulations. While you won't develop the models yourself, you'll be responsible for ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value.

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

You've seen data and AI initiatives fail to deliver, whether through strategies that never reached implementation, models that were never adopted, or dashboards that answered the wrong questions. 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: contribute to presales from the start - defining the problem, scoping the approach, and building EPAM's value narrative for Consumer & Retail clients

Lead client discovery: facilitate workshops with commercial, category and supply chain leadership, frame the real problem - not just the stated one - and define what a good outcome looks like

Build the business case: identify, prioritise and size data and AI use cases; translate them 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: work closely with Data Engineers, Data Scientists and Solution Architects to design scalable solutions - you define the what and why, they build the how

Tell the story: produce clear, executive-level materials and present recommendations to leadership 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 - whether built in-industry or through sustained consulting work with retailers, CPG/FMCG, eCommerce or wholesale clients - with concrete examples of measurable business impact

Consulting experience: structured problem-solving, stakeholder management, workshop facilitation and executive-level communication

Data and AI literate: able to define data requirements and KPIs, hold a substantive conversation with a data scientist or architect, 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 a recurring planning or commercial process, with a clear view of what worked and what didn't

Fluent in CPG data landscape: syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out, and the practical experience working with them

Comfortable with ambiguity takes ownership and drives to outcomes without waiting to be told what the answer is

Nice to have

Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP or AWS) and how data and AI solutions are architected and deployed on them

Experience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, RAG) in a Consumer & Retail context

Hands-on exposure to the modelling families behind this work - hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference and incrementality testing

Knowledge of enterprise platforms common in Consumer & Retail environments, such as SAP, Salesforce or major ERP and CRM systems

Change management and adoption skills: ensuring that solutions land and are actually used, not just delivered

Experience in data governance, data quality frameworks or target operating model design is a plus

Multi-market experience - working across a regional or global CPG operating model, with the data and process differences that come with it

We offer

We gather like-minded people:

Top tech minds driving innovation in AI, cloud and digital platform modernization

Supportive team and agile, startup-like culture

Hybrid by design mode and opportunity to work remotely within Poland

Chance to work abroad for up to 60 days annually

Business-driven relocation opportunities

We provide growth opportunities:

Career development programs

Thought leadership, mentoring, soft skills and well-being programs

Certification (Anthropic, Gemini, GCP, Azure, AWS)

English classes

We cover it all:

Stable pay

Participation in the 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

We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually

We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.