Data & AI Strategy Lead for Consumer & Retail

EPAM Systems; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

EPAM Systems is seeking a Data & AI Consultant within our Consumer & Retail practice to shape proposals, lead workstreams, and bridge business needs with EPAM's engineering and data science teams—from discovery through implementation.

You will focus on advanced analytics and GenAI use cases, including forecasting, pricing and elasticity modelling, attribution and scenario simulations, delivering measurable value to clients across multiple markets.

Qualifications

• Deep Consumer & Retail expertise with measurable business impact.
• Consulting experience: structured problem-solving, stakeholder management, workshop facilitation and executive-level communication.
• Data and AI literate: define data requirements and KPIs, translate between business and technical audiences.
• End-to-end agile delivery experience: from problem framing to delivery and adoption into recurring planning or commercial process.

Responsibilities

• Shape pursuits and proposals 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 and define desired outcomes.
• Build the business case: identify, prioritise and size data and AI use cases; translate them into business cases with KPIs and delivery roadmaps.
• Own the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoption.
• Brief the builders: work with Data Engineers, Data Scientists and Solution Architects to design scalable solutions.

Skills

Data & AI literacy

Consulting experience

Agile delivery

Stakeholder management

Tools

Databricks

Snowflake

Azure

GCP

AWS

Job description

EPAM Systems is seeking a Data & AI Consultant within our Consumer & Retail practice to shape proposals, lead workstreams, and bridge business needs with EPAM's engineering and data science teams—from discovery through implementation.

You will focus on advanced analytics and GenAI use cases, including forecasting, pricing and elasticity modelling, attribution and scenario simulations, delivering measurable value to clients across multiple markets.