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Salary
$87k – $114k per year (gross)
Location
Hybrid (Vilnius, Kaunas, Lithuania)
Employment
Full-Time

First seen by Alion on Oct 18, 2026. EPAM Systems scores D on the Alion truth index.

Overview
Company
Impact
Profile match
EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.

Job Description

We're looking for a Data & AI Governance Consultant to join our team in Lithuania 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.

Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.

  • 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

Company offers

  • Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
  • Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
  • World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
  • Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
  • GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
  • Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
  • Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
  • Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
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