Enterprise Data & AI Program Director (Global Delivery Organisation)

EPAM Systems

Netherlands

Hybrid

EUR 150,000 - 190,000

Full time

3 days ago
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Job summary

EPAM Systems in the Netherlands (Amsterdam and Eindhoven) is seeking an Enterprise Data & AI Program Director in a hybrid role to define strategic direction for major data and AI programs, delivering measurable business value for clients.

The role is non-operational, focusing on strategy, governance, commercial alignment, and executive stakeholder management, while mentoring delivery leads and supporting business development.

Qualifications

  • Extensive senior leadership experience managing large, enterprise-scale data and AI programs.
  • Ability to translate data/AI strategies into actionable plans with ROI.
  • Strong commercial acumen including budgets, risk governance and contractual terms.
  • Familiarity with regulatory and ethical considerations in data/AI.
  • Excellent stakeholder engagement with C-level influence.

Responsibilities

  • Define and maintain the strategic roadmap for large data and AI programs.
  • Serve as senior escalation point on program health, risk and outcomes.
  • Oversee governance that embeds data protection and ethical AI practices.
  • Review technical strategies from a risk/value perspective.
  • Shape commercial terms, scope and delivery models for large engagements.
  • Build trusted relationships with executive client stakeholders and governance forums.
  • Mentor delivery managers and support business development.

Skills

Executive leadership
Program governance
Data & AI strategy
Stakeholder management
Budget oversight
Regulatory compliance
Generative AI concepts

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
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