Executive Director

Job requisition ID :: 87645

Date: Oct 29, 2025

Location: Bengaluru

Designation: Executive Director

Entity: Deloitte Touche Tohmatsu India LLP

Role Overview:

We are seeking a seasoned and entrepreneurial Partner/Executive Director to lead and scale our Cloud & Hybrid Infrastructure Practice. This is a leadership role with end-to-end responsibility for practice strategy, client success, partner alliances, and talent development. The ideal candidate brings deep expertise across public cloud, on-prem/hybrid infrastructure, and AI/GPU platforms—and a track record of advising CxOs and delivering enterprise-scale transformation programs.

This role is central to shaping the future of infrastructure services at the convergence of cloud, AI, and edge—while building a market-leading, high-performance team.

Key Responsibilities:

Practice Strategy & P&L Ownership

• Define and execute a multi-year vision and growth strategy for the hybrid cloud and AI infrastructure practice.
• Own practice-level P&L, including revenue, profitability, and investment planning.
• Develop differentiated service offerings and accelerators across cloud, hybrid, data centre modernization, and AI/ML infrastructure.

Client Engagement & Market Leadership

• Serve as a strategic advisor to Fortune 500 clients and government entities on infrastructure modernization, hybrid cloud strategy, and AI platform enablement.
• Drive executive-level relationships and long-term account growth by positioning infrastructure as a core enabler of business innovation.
• Represent the firm at industry events, analyst briefings, and client forums as a thought leader.

Delivery Oversight & Technical Governance

• Provide executive oversight for high-impact infrastructure programs including cloud migration, software-defined data center (SDDC), private/hybrid cloud adoption, and AI/ML compute platforms.
• Ensure architectural excellence, delivery quality, and client satisfaction on all engagements.
• Sponsor internal review boards and innovation councils to shape reusable frameworks and IP.

Talent Leadership & Capability Building

• Attract, retain, and develop top talent in cloud architecture, infrastructure engineering, AI/ML platforms, and GPU operations.
• Mentor leaders across geographies and disciplines, fostering a culture of technical excellence, inclusion, and continuous learning.
• Lead internal capability development in areas like Kubernetes, FinOps, AIOps, HPC, and sustainability.

Alliances & Ecosystem Development

• Build and expand strategic alliances with hyperscalers (AWS, Azure, GCP), OEMs (Dell, HPE, NVIDIA, Cisco), and emerging AI infrastructure providers.
• Co-create go-to-market plays, joint solutions, and thought leadership in collaboration with alliance partners.
• Stay abreast of emerging technologies in AI accelerators, edge computing, sovereign cloud, and green data center design.

Qualifications:

Experience

• 18+ years of experience in infrastructure/cloud technology leadership roles, with at least 3 years at Partner, VP, or Practice Head level.
• Proven track record of building and scaling a high-growth cloud or hybrid infrastructure practice.
• Deep, hands-on understanding of cloud platforms (AWS, Azure, GCP), virtualization, networking, and storage.
• Expertise in GPU infrastructure (NVIDIA A100/H100, DGX, etc.), AI/ML compute environments, and hybrid/multi-cloud architectures.
• Strong familiarity with enterprise platforms (SAP, Oracle, VMware) and their transition to cloud/hybrid environments.

Leadership & Business Acumen

• Demonstrated success in owning and growing a $5M+ portfolio , with strong client references.
• Exceptional communication, stakeholder management, and executive presence.
• Deep understanding of industry trends and regulatory environments across sectors (e.g., Financial Services, Healthcare, Manufacturing).

Education & Certifications

• Bachelor's degree in Engineering, Computer Science, or a related field (Master's or MBA preferred).
• Relevant technical certifications: AWS/Azure/GCP Architect, VMware, Kubernetes, NVIDIA AI certifications (preferred).