Enterprise Data & AI Program Director (Global Delivery Organisation)

EPAM Systems; France; Hybride; EUR 150 000 - 190 000; Plein temps

Résumé du poste

EPAM Systems in Paris, France, seeks an Enterprise Data & AI Program Director in a hybrid role. This senior leader sets strategic direction for the most complex data & AI programs to deliver measurable business value.

You will partner with delivery managers and tech leads, focusing on strategy, governance and long-term program success rather than hands-on delivery. You will define roadmaps, manage governance, and shape commercial terms for large engagements, while mentoring teams and guiding

Qualifications

• Experience leading large, complex data & AI programs in enterprise settings.
• Translate data/AI strategies into actionable plans with ROI.
• Strong commercial sense with budgets, governance and risk.
• Knowledge of data platforms, AI, LLMs, and MLOps.
• Awareness of data protection and responsible AI considerations.

Responsabilités

• Define strategic roadmap for large-scale data & AI programs.
• Act as escalation point for program health, risk and outcomes.
• Oversee governance for data protection, ethics and regulatory compliance.
• Review technical strategies for feasibility and value.
• Define measurable success metrics aligned to client objectives.
• Shape commercial terms, scope and delivery models for engagements.
• Build trusted executive relationships and participate in governance forums.
• Mentor delivery managers and program leads as a senior advisor.
• Support bid strategy and alignment of client needs with EPAM capabilities.

Connaissances

Data & AI leadership

Stakeholder management

Budget governance

Regulatory & ethics

Enterprise data platforms

Description du poste

We’re looking for an Enterprise Data & AI Program Director to join our team in Paris, France 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