Key Skills

Job Description

We’re looking for an Enterprise Data & AI Program Director to join our team in Amsterdam and Eindhoven, Netherlands in a hybrid working mode. In this senior leadership role, you will define the strategic direction for EPAM’s most complex data and AI programs, ensuring programs deliver measurable business value. You will serve as the senior point of contact for our clients on strategy, governance and outcomes, partnering with delivery managers and technical leaders to align execution with business objectives. This position does not involve hands-on design or day-to-day delivery management; instead, it focuses on strategy, relationship management and safeguarding the long-term success of programs through robust governance and commercial alignment. Responsibilities Define and maintain the strategic roadmap for large-scale data and AI programs, ensuring delivery aligns to business priorities and value realization Act as a senior escalation and decision-making point on program health, risk and outcomes for executive stakeholders Oversee governance frameworks that embed data protection, ethical AI practices and regulatory compliance in program execution Review technical strategies from a risk and value perspective, ensuring feasibility without leading detailed solution design Define measurable success metrics that reflect client business objectives, beyond traditional delivery milestones Shape commercial terms, scope and delivery models for large engagements, ensuring appropriate risk management and margins Build and foster trusted relationships with executive-level client stakeholders and represent programs in governance forums Mentor delivery managers and program leads acting as a senior advisor while leaving operational ownership with their teams Contribute to business development activities by supporting bid strategy, shaping deals and aligning client needs with EPAM capabilities Requirements Extensive experience as a senior leader managing large, complex data and AI programs at enterprise scale Proven ability to translate data and AI strategies into actionable plans with clear business outcomes and ROI Strong commercial acumen with a track record overseeing budgets, risk governance and influencing contractual terms Practical knowledge of modern data platforms, AI and Generative AI concepts (Machine Learning, LLMs, MLOps) sufficient to challenge and assess technical proposals Awareness of regulatory and ethical considerations in data and AI, including data protection and responsible AI adoption Excellent stakeholder engagement and communication skills with experience influencing C-level stakeholders Nice to have Experience managing large programs across multiple European markets in addition to the UK Domain expertise within industries such as financial services, life sciences or retail Familiarity with pre-sales, bid strategy and shaping large-scale data-driven transformation engagements 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

Core Responsibilities

Set strategic direction and governance for large-scale data and AI programs, ensuring alignment with client priorities, measurable business outcomes, regulatory requirements, and commercial objectives. Serve as a senior advisor and executive contact, manage escalations and client relationships, shape engagement terms and bids, and mentor program leaders without taking on day-to-day delivery ownership.

Requirements

Requires extensive senior leadership experience managing complex enterprise data and AI programs, translating strategy into actionable plans with measurable business outcomes and ROI. Candidates should bring strong commercial and risk governance expertise, practical knowledge of data platforms, AI, Generative AI, Machine Learning, LLMs, and MLOps, awareness of responsible AI and regulatory considerations, and the ability to influence C-level stakeholders.

Benefits

• 26 Paid Holiday Days
• Pension Plan
• Disability Insurance
• Long-Term Disability Insurance
• Employee Stock Purchase Plan
• Commuting Cost Reimbursement
• Laptop
• Corporate SIM Card
• Corporate Mobile Device
• Bike Lease
• Employee Assistance Program
• Employee Referral Program
• Learning and Development Opportunities
• In-House Training
• Coaching
• Professional Certifications
• Courses