Enterprise Data & AI Program Director (Global Delivery Organisation)

EPAM Systems; Belgique; On-site; USD 163,000 - 232,000; Full time

Job summary

EPAM Systems in Brussels, Belgium, is seeking an Enterprise Data & AI Program Director in a hybrid role to define the strategic direction of its most complex data and AI programs. You will act as the senior client lead on strategy, governance and outcomes, partnering with delivery managers and tech leaders to align execution with business goals.

This role emphasizes strategy, relationship management and governance, rather than hands-on design or day-to-day delivery, with mentorship of delivery

Qualifications

• Senior leader with experience managing large, enterprise-scale data and AI programs.
• Ability to translate data/AI strategies into actionable plans with measurable ROI.
• Strong commercial acumen with budgets, governance, and contract influence.

Responsibilities

• Define and maintain the strategic roadmap for large-scale data and AI programs.
• Act as senior escalation and decision-point on program health, risk and outcomes for executives.
• Oversee governance frameworks including data protection, ethical AI, and regulatory compliance.
• Review technical strategies for risk and value without leading detailed design.
• Define measurable success metrics aligned to client objectives and ROI.
• Shape commercial terms, scope, and delivery models for large engagements.

Skills

Leadership

Data & AI strategy

Stakeholder engagement

Budget oversight

Regulatory compliance

Generative AI

LLMs

MLOps

Pre-sales / bid strategy

Job description

We’re looking for an Enterprise Data & AI Program Director to join our team in Brussels, Belgium 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.