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EPAM Systems

Director, Client Partner - AI Data Centres & Digital Infrastructure

London
Posted 1 day ago
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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.

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

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£35,000/yr

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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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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

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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

We Offer

  • 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
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Skills

Business Development
AI Infrastructure
Digital Infrastructure
Client Relationship Management
Strategic Planning
Deal Structuring
Energy Optimization
Cloud Migration
DCIM
GPU Allocation
Compute Economics
Stakeholder Management

Location

London, England, United Kingdom

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