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We are currently seeking a Head of AI Transformation & Adoption to join our team in Bangalore, Karntaka (IN-KA), India (IN).

Role Summary

We are seeking a visionary and execution-focused Head of AI Transformation & Adoption to lead enterprise-scale AI adoption across a global ADM organization of 10,000+ professionals. This leader will be responsible for defining and executing the AI transformation strategy across multiple industry verticals, client accounts, delivery units, and technology practices.

The role will drive measurable business outcomes through AI-powered delivery transformation, productivity improvement, cost optimization, quality enhancement, automation, and innovation. The ideal candidate will act as a bridge between business leadership, delivery teams, AI specialists, hyperscaler partners, and clients to create a culture of AI-first engineering and operational excellence.

This is a highly strategic leadership role with accountability for enterprise-wide AI adoption, value realization, governance, and innovation.

Ideal Candidate Profile

A transformational leader who combines the strategic thinking of a CTO, the operational rigor of a Delivery Executive, the innovation mindset of an AI Product Leader, and the business acumen of a Consulting Partner. This individual will be accountable for turning AI from isolated experiments into a scalable enterprise capability that delivers measurable client value, significant cost savings, and competitive differentiation across the entire ADM organization.

Key Responsibilities

1. Enterprise AI Strategy & Vision

Develop and execute a multi-year AI transformation roadmap for the ADM organization.
Define AI adoption frameworks, standards, governance models, and operating procedures.
Establish AI as a core pillar of software engineering, application support, modernization, testing, and managed services.
Identify opportunities to leverage Generative AI, Agentic AI, Predictive AI, Machine Learning, AIOps, and Intelligent Automation across the ADM lifecycle.
Build executive alignment and sponsorship for AI-led transformation initiatives.

2. AI-Driven Delivery Transformation

Lead implementation of AI-powered solutions across:

Application Development
Application Maintenance
Testing & Quality Engineering
DevOps & Platform Engineering
SRE & Operations
Cloud Engineering
Legacy Modernization
Data & Analytics

Drive adoption of AI coding assistants, automated testing platforms, AI-enabled documentation, knowledge management, and operations automation tools.
Establish reusable AI assets, accelerators, frameworks, and industry-specific solutions.

3. Client Value Realization

Partner with account teams to identify AI-led cost reduction and productivity improvement opportunities.
Create AI-based transformation offerings that deliver:

Reduced effort
Faster delivery cycles
Improved quality
Lower incident volumes
Reduced technical debt
Enhanced customer experience

Define value realization frameworks and ensure measurable client outcomes.
Support strategic client engagements and executive discussions around AI transformation.

4. AI Adoption & Change Leadership

Lead organization-wide AI adoption programs.
Create AI champions network across all delivery units and verticals.
Establish AI Centers of Excellence (CoEs) and Communities of Practice.
Drive AI literacy, training, certifications, and continuous learning initiatives.
Build a culture where AI is embedded into everyday engineering and delivery practices.

5. Innovation & Use Case Portfolio Management

Build and manage a portfolio of AI use cases across all verticals and accounts.
Prioritize initiatives based on business value, scalability, and ROI.
Drive experimentation, rapid prototyping, and industrialization of successful use cases.
Establish innovation pipelines and governance mechanisms.
Promote reuse of successful AI solutions across multiple accounts.

6. Financial Impact & Productivity Leadership

Own AI-driven productivity and efficiency targets across the ADM organization.
Establish KPIs for:

Productivity improvement
Cost savings
Automation coverage
Time-to-market reduction
Defect reduction
Knowledge management efficiency

Track realized benefits and report outcomes to executive leadership.
Build business cases and investment strategies for AI initiatives.

7. Governance, Security & Responsible AI

Define Responsible AI standards and governance frameworks.
Ensure compliance with client, regulatory, privacy, and security requirements.
Establish controls for model usage, data protection, explainability, and risk management.
Partner with security, legal, and compliance teams to manage AI risks.

Required Qualifications

Education

Bachelor's degree in Computer Science, Engineering, or related field.
Master's degree preferred.
MBA or Executive Leadership Program desirable.

Experience

18+ years of IT services and software engineering experience.
8+ years leading large global delivery organizations.
Demonstrated success in enterprise transformation initiatives.
Strong experience in application development, maintenance, modernization, and managed services.
Hands-on understanding of Generative AI, LLMs, AI agents, Machine Learning, and automation platforms.
Experience delivering large-scale client transformation programs.

Preferred Technical Expertise

Generative AI Platforms
Large Language Models (LLMs)
AI Agents and Agentic Workflows
AI-Assisted Software Development
AIOps
MLOps
DevSecOps
Cloud Platforms (AWS, Azure, GCP)
Data Engineering & Analytics
Knowledge Management Platforms
Automation & Intelligent Operations

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

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