Data & AI Governance Consultant

EPAM Systems; Netherlands; On-site; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Hybrid work model

Career growth

Job summary

EPAM Systems in the Netherlands seeks a Data & AI Governance Consultant to guide clients on data and AI strategy, governance operating models, and regulatory alignment. You will advise executives, shape roadmaps and manage enterprise governance programs in a hybrid work setting.

The role requires 6+ years in governance initiatives, strong collaboration with C-level stakeholders and hands-on experience with governance tooling and Collibra/Alation.

Qualifications

• 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 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.
• Experience in maturity assessments and strategic implementation recommendations.
• Familiarity with AI/ML lifecycle risks such as model drift, bias and GenAI-specific risks.
• Strong facilitation, workshops and executive-level communication skills.
• Hands-on experience with governance tools and Microsoft 365 for program documentation.

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 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.

Skills

Data Governance

AI Governance

Data Quality

Metadata Management

Data Cataloging

Lineage

Master Data Management

DCAM

Responsible AI

Data Observability

Education

Bachelor's degree in Information Technology or related field

Master's degree

Tools

Collibra

Alation

Informatica

Azure Purview

Job description

We're looking for a Data & AI Governance Consultant to join our team in the Netherlands 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 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
• Excellent communication and documentation skills in English
• Hands-on experience with governance tools and Microsoft 365 for program documentation and collaboration
• 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