Data & AI Governance Consultant

EPAM Systems; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

26 paid holidays

Pension plan scheme

Disability insurance (WGA Shortfall)

Long-term disability (WIA Top up)

EPAM Employee Stock Purchase Plan (ESu

Commuting to work – costs reimbursed

Laptop + corporate simcard + device

Bike lease

Employee Assistance Program

Training and certifications

Job summary

EPAM Systems in the Netherlands is seeking a seasoned Data & AI Governance Consultant to guide senior executives in shaping data and AI strategy, operating models, and regulatory alignment in a hybrid setup. You will lead governance discussions, design frameworks, and drive maturity roadmaps for enterprise-wide adoption.

The role emphasizes advisory leadership, risk mitigation for GenAI, and collaboration with C-suite stakeholders.

Qualifications

• 6+ years of consulting experience in Data Governance, Data Management or AI Governance.
• Subject matter expertise in 2–3 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).
• Experience running maturity assessments and providing strategic implementation recommendations.
• Familiarity with AI/ML lifecycle risks such as model drift, bias and GenAI-specific risks.
• Excellent communication and documentation skills in English.
• Hands‑on experience with governance tools and Microsoft 365 for program documentation and collaboration.

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 initiativesLead 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

Stakeholder Engagement

Executive Communication

Microsoft 365

DCAM

Responsible AI

Maturity Assessments

Education

Bachelor’s or Master’s degree in IT or related field

Tools

Collibra

Alation

Informatica

Ataccama

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 initiativesLead 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

We offer

• 26 paid holiday days
• Pension plan scheme
• Disability insurance (WGA Shortfall insurance)
• Long-term disability insurance (WIA Top up insurance)
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting to work - costs reimbursement
• Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
• Bike lease
• Employee Assistance Program
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses