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Enterprise Data & AI Program Director

Hybrid in London·Added 13 days ago (last checked 29 Sept)

EPAM

102 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Benefits

  • Cycle to work and season ticket loan

    Commuter benefits named in the ad.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have senior-level experience

    Director-level role.

Skills

Requirements

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

Pay & benefits

What you'll get

  • EPAM Employee Stock Purchase Plan (ESPP)
  • Protection benefits including life assurance, income protection and critical illness cover
  • Private medical insurance and dental care
  • Employee Assistance Program
  • Competitive group pension plan
  • Cyclescheme, Techscheme and season ticket loans
  • Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
  • Learning and development opportunities including in-house training and coaching, professional certifications, and courses
  • If otherwise eligible, participation in the discretionary annual bonus program
  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

*All benefits and perks are subject to certain eligibility requirements

The role

We're looking for an Enterprise Data & AI Program Director to join our team in London, UK 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.

What you'll do

  • 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

Hiring process

3 steps3 interviews
  1. Apply

  2. Conversation with Talent Acquisition

    With a Talent Acquisition Specialist

    An introductory conversation with a Talent Acquisition Specialist.

  3. Technical interview

    Video call

    An online technical interview.

  4. Interview with the hiring manager

    With a hiring manager

    A general interview with the hiring manager.

  5. Offer

  • The block is a template on EPAM location pages; the Spain page itself does not show it.

About EPAM

Industry
IT Services
Founded
1993
Employees
50,000–100,000
Headquarters
Newtown, USA
Website
epam.com
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