Data Governance Consultant

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• 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

• 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