Director, Client Partner - AI Data Centres & Digital Infrastructure

We're looking for a Director, 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.

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 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 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