Data Governance Consultant

EPAM Systems; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

EPAM Systems Inc. in Poland seeks a Data & AI Governance Consultant to join a hybrid team, advising senior leaders on data and AI strategy, operating models and regulatory alignment.

You will shape governance for next-gen AI adoption, ensuring reliability and security while guiding clients through ROI, MVP definition and enterprise rollout. The role requires 6+ years in Data/AI governance, experience with DCAM and Responsible AI principles, and strong communication in English.

Qualifications

• 6+ years of consulting in Data Governance or AI Governance.
• Familiar with DCAM and Responsible AI principles.
• Knowledge of Data Quality, Metadata Management and Data Lineage.
• Strong facilitation and executive communication in English.

Responsibilities

• Lead enterprise-wide Data & AI Governance strategy discussions with client executives.
• Define and implement AI Governance frameworks aligned to regulations.
• Assess Data Management & Governance maturity and plan roadmaps.
• Design federated governance operating models with councils and RACI.
• Advise on GenAI risk mitigation including data leakage and IP exposure.
• Support regulatory readiness and evidence documentation for AI acts.
• Deliver end-to-end consulting from strategy to enterprise rollout.
• Lead client workshops and contribute to proposals and executive presentations.
• Drive Data & AI literacy and change management initiatives.

Skills

Data Governance

Data Management

AI Governance

AI compliance

Data Quality

Metadata Management

Data Cataloging

Data Lineage

Master Data Management

DCAM

Responsible AI

Education

Bachelor's or Master's degree in information technology

Tools

Collibra

Alation

Informatica

Ataccama

Azure Purview

Job description

We're looking for a Data & AI Governance Consultant to join our team in Poland in a hybrid working mode. This is a highly visible consulting role for an expert passionate about solving complex enterprise challenges related to Data Management and AI Governance. You will advise senior executives and help them define their data and AI strategy, establish operating models and guide organizations to comply with emerging AI regulations. This role sits within EPAM's Global Data & Analytics Consulting practice and offers an opportunity to shape governance operating models for next-generation AI adoption while ensuring reliability, security and regulatory alignment. If you enjoy engaging with business and technology leaders, translating strategy into actionable roadmaps and setting clients on the path toward their Data & AI North Star, then this role is for you.

Responsibilities

• Lead Enterprise-wide Data & AI Governance strategy discussions and build trusted advisor relationships with client executives (CDO, CIO, CDAO, Risk Officers).
• Define and implement AI Governance frameworks aligned to regulatory and business requirements.
• Conduct Data Management & Governance assessments to establish maturity roadmaps and execution plans.
• Design federated governance operating models with councils, stewardship networks and RACI structures.
• Advise clients on GenAI risk mitigation including data leakage, IP exposure, hallucination risk and compliant use of large language models.
• Support regulatory readiness, audit preparation and evidence documentation aligned with the EU AI Act and industry-specific regulations.
• Deliver end-to-end consulting services from strategy ideation, ROI/business case development and MVP definition to enterprise rollout.
• Enable organizations through Data and AI literacy programs and drive change management initiatives.
• Lead client workshops to discover priorities, assess capabilities and define operational readiness.
• Contribute to business development through proposals, SOWs and delivery of executive presentations.

Requirements

• Bachelor's or master's degree in information technology or a related field.
• 6+ years of consulting experience in Data Governance, Data Management or AI Governance initiatives.
• Subject matter expertise in at least 2-3 of the following areas: Data & AI Governance, AI compliance, Data Quality, Metadata Management, Data Cataloging, Lineage, Master Data Management.
• Knowledge of governance frameworks such as DCAM and Responsible AI principles (fairness, transparency, accountability).
• Practical experience running maturity assessments and providing strategic implementation recommendations.
• Familiarity with AI/ML lifecycle risks such as model drift, bias and GenAI-specific risks.
• Strong facilitation skills for workshops, stakeholder engagement and executive-level discussions.
• Hands-on experience with governance tools and Microsoft 365 for program documentation and collaboration.
• Excellent communication and documentation skills in English.
• Nice to have Experience with tools such as Collibra, Alation, Informatica, Ataccama, Azure Purview or their open-source equivalents.
• Knowledge of concepts such as Data Observability, DataOps and Data Mesh.
• Exposure to OCM frameworks (Prosci ADKAR, Kotter) and scaling enterprise transformations.