Director, Client Partner - AI Data Centres & Digital Infrastructure

EPAM Systems; Greater London; Hybrid; GBP 140,000 - 220,000; Full time

Benefits offered by this job

ESPP

Life assurance

Income protection

Critical illness cover

Private medical insurance

Dental care

Employee Assistance Program

Pension plan

Cyclescheme

Techscheme

Season ticket loans

Free Wednesday lunch in-office

On-site massages

Regular social events

Learning and development opportunities

Discretionary annual bonus

Long-Term Incentive (LTI) Program

Job summary

EPAM Systems in London is seeking a Director, Client Partner for AI Data Centres & Digital Infrastructure to shape EPAM's growth in AI infrastructure, energy optimization and digital transformation. This hybrid role focuses on creating demand, building long‑term executive relationships and structuring complex deals.

You will lead senior engagements across hyperscalers and ecosystems, close deals across AI/HPC platforms, cloud migrations and DCIM, and drive revenue growth with strategic

Qualifications

• 12+ years in consulting, technology services, AI, digital infrastructure or related energy tech 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 processes and procurement models.
• Commercial fluency in 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 supply chain dynamics.
• London-based with UK work authorization and willingness to travel extensively across Europe.

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.

Skills

Executive leadership

Business development

Client relationships

Deal negotiation

AI infrastructure

Job description

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

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

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