Data & AI Governance Consultant

About the role

EPAM is seeking a Data & AI Governance Consultant to join its Global Data & Analytics Consulting practice in Latvia. Working in a hybrid mode, you will partner with senior executives to define data and AI strategies, build governance operating models, and ensure compliance with emerging AI regulations.

Key responsibilities

• Lead enterprise‑wide Data & AI Governance strategy discussions and advise C‑level stakeholders (CDO, CIO, CDAO, Risk Officers).
• Define and implement AI Governance frameworks aligned with regulatory and business requirements.
• Conduct Data Management & Governance assessments, create maturity roadmaps and execution plans.
• Design federated governance operating models with councils, stewardship networks and RACI structures.
• Advise 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 for the EU AI Act and industry‑specific regulations.
• Deliver end‑to‑end consulting services from strategy ideation to MVP definition and 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 executive presentations.

Required profile

• 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.
• Proven ability to build trusted advisor relationships with senior executives.
• Excellent communication and documentation skills in English.

Required skills

• Knowledge of DCAM and Responsible AI principles.
• Expertise in Data Quality, Metadata Management, Data Cataloging, Data Lineage and Master Data Management.
• Experience with AI compliance and AI/ML lifecycle risk assessment (model drift, bias, GenAI risks).
• Ability to run maturity assessments and provide strategic implementation recommendations.