SENIOR TECHNICAL LEAD - Gen AI

Happiest Minds Technologies; Dadri; On-site; INR 4,500,000 - 6,000,000; Full time

Job summary

Happiest Minds Technologies is seeking an AI Transformation & Enablement Lead to serve within the IT AI Transformation & Enablement Group, translating strategy into practical outcomes that accelerate responsible AI adoption across Global IT. You will assess current-state capabilities, identify opportunities, and develop governance, enablement, and measurement mechanisms for the AI transformation roadmap.

The role requires extensive experience in leading AI/digital transformations, stakeholder

Qualifications

• Experience leading AI, digital, or business transformation initiatives.
• Strong stakeholder engagement, workshop facilitation, and discovery skills.
• Proven experience designing operating models, governance frameworks, and organizational enablement programs.
• Experience conducting process assessments, identifying improvement opportunities, and developing scalable solutions.
• Strong program management and executive communication capabilities.
• Knowledge of AI adoption, AI governance, change management, and value realization frameworks.
• Consulting or transformation experience in large enterprise environments preferred.

Responsibilities

• Participate in working sessions and drive agreed deliverables to completion.
• Conduct stakeholder interviews and current-state assessments across IT functions.
• Develop governance frameworks, operating models, decision criteria, and supporting artifacts.
• Establish AI visibility, adoption, and value measurement mechanisms.
• Support enablement initiatives including Communities of Practice, champion networks, and knowledge-sharing programs.
• Prepare executive-ready plans, reports, and communications.
• Coordinate stakeholder engagement and maintain momentum across workstreams.

Skills

AI transformation

Stakeholder engagement

Governance frameworks

Program management

Change management

Executive communications

Consulting in enterprise

Job description

Role Purpose

The AI Transformation & Enablement Lead will serve as an embedded member of the IT AI Transformation & Enablement Group, helping convert strategic direction into practical outcomes that accelerate responsible AI adoption across Global IT.

The role will work closely with stakeholders across IT to assess current-state capabilities, identify opportunities and barriers, and develop sustainable governance, enablement, and measurement mechanisms that support the AI transformation roadmap.

Key Responsibilities

• Participate in working sessions and drive agreed deliverables to completion.
• Conduct stakeholder interviews and current-state assessments across IT functions.
• Develop governance frameworks, operating models, decision criteria, and supporting artifacts.
• Establish AI visibility, adoption, and value measurement mechanisms.
• Support enablement initiatives including Communities of Practice, champion networks, and knowledge-sharing programs.
• Prepare executive-ready plans, reports, and communications.
• Coordinate stakeholder engagement and maintain momentum across workstreams.

Desired Experience: 9+ Years

• Experience leading AI, digital, or business transformation initiatives.
• Strong stakeholder engagement, workshop facilitation, and discovery skills.
• Proven experience designing operating models, governance frameworks, and organizational enablement programs.
• Experience conducting process assessments, identifying improvement opportunities, and developing scalable solutions.
• Strong program management and executive communication capabilities.
• Knowledge of AI adoption, AI governance, change management, and value realization frameworks.
• Consulting or transformation experience in large enterprise environments preferred.

Success Profile

The Ideal Candidate Can

• Quickly synthesize complex discussions and convert them into actionable outcomes.
• Operate independently and drive deliverables between working sessions.
• Engage stakeholders and uncover adoption barriers, process gaps, and improvement opportunities.
• Design practical, sustainable operating models rather than theoretical frameworks.
• Balance strategy, governance, enablement, and execution.
• Build solutions that align with existing ways of working while reducing organizational friction.
• Influence without direct authority and work effectively across teams.
• Produce executive-ready deliverables, recommendations, and communications.

Gen AI, Stakeholder Management, Change Management, Program Management