Director, Client Partner - AI Data Centres & Digital Infrastructure

We're looking for aDirector, Client Partner – AI Data Centres & Digital Infrastructure to join our team in London, United Kingdom in a hybrid working mode. In this strategic role, you will shape and grow EPAM's presence in a rapidly evolving AI and digital infrastructure landscape. The focus is on creating demand, building long-term client relationships, and delivering value through innovative solutions in AI infrastructure, energy optimization and digital transformation. You will play a pivotal role in driving business growth by leveraging your network, influencing decision-makers and structuring complex deals that address emerging industry challenges.

Responsibilities

• Create new demand and opportunities across AI data centres, hyperscalers and related ecosystems
• Leverage senior-level networks to open executive engagements and convert them into qualified opportunities
• Shape and close deals in technology layers, including AI/HPC platforms, cloud migrations, DCIM and operations modernisation
• Drive investor-focused strategies by engaging infrastructure funds and linking technology value to investment outcomes
• Develop a scalable business plan, including revenue targets, pipeline management and investment cases for growth
• Establish a structured partner ecosystem to support end-to-end delivery credibility
• Ensure alignment across delivery, solution SMEs, alliances, marketing, legal, procurement and finance functions
• Build reusable propositions, operating models and reference architectures, ensuring practice knowledge scalability
• Coach and mentor internal teams to expand expertise within AI and digital infrastructure domains

Requirements

• 12+ years in consulting, technology services, AI, digital infrastructure or related energy technology sectors in a commercial leadership role
• Proven experience converting executive relationships into revenue within the AI infrastructure or European digital ecosystem
• Strong understanding of client environments, decision-making processes and procurement models
• Commercial fluency in areas such as AI economics, tokenomics, compute, energy models and grid connectivity
• Ability to lead executive conversations on cost optimization, orchestration and power density without reliance on technical architects
• Knowledge of hyperscaler ecosystems, GPU allocation and relevant supply chain dynamics
• London-based with UK work authorization and willingness to travel extensively across Europe

Nice to have

• Network and relationships with hyperscalers, neocloud providers or GPU cloud platforms
• Background in energy, utilities, grid systems or energy storage technologies
• External visibility through speaking engagements, thought leadership or industry community involvement