Senior Consultant - Data Management & Governance

About the Position

Senior Consultant - Data Management & Governance

Join EPAM as a Senior Consultant in Data Management & Governance. Shape AI strategy, ensure regulatory compliance, and drive enterprise data literacy.

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

We Offer

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area

About the Company

EPAM is a global software engineering and product development company with a focus on delivering digital platforms and solutions for the world’s leading companies. We are committed to innovation, quality, and customer success.