Associate Distinguished Engineer, Change management

Nagarro; New Delhi; On-site; INR 4,500,000 - 6,000,000; Full time

Job summary

Nagarro in India is seeking a Distinguished Engineer, Change Management to lead enterprise-scale AI adoption and governance. You will design data governance frameworks, define change management plans for autonomous agents, and partner with sales to win new business with responsible AI leadership.

You will roll out training, develop KPIs, and align OpenAI and other LLM platforms with enterprise policies across globally distributed teams.

Qualifications

• 16+ years of experience in governance, change management, or AI transformation.
• Design and implement data governance frameworks and policies.
• Lead enterprise adoption of AI/tools like OpenAI products at scale.
• Ability to run pre-sales activities and articulate value to executives.
• Strong analytical and communication skills for technical and business audiences.

Responsibilities

• Act as SME during pre-sales, partnering with sales to win new business.
• Develop metrics to track AI adoption and quantify ROI.
• Lead training and cultural initiatives for collaboration with digital agents.
• Define operating models that embed AI into day-to-day workflows.
• Establish KPIs on adoption, risk, and efficiency; report to executives.
• Collaborate with product, engineering, and innovation teams on governance.
• Facilitate workshops to assess AI readiness and transformation roadmaps.
• Build mastery in ChatGPT Enterprise and related AI capabilities.

Skills

Data governance

AI governance

Change management

Pre-sales support

Stakeholder management

Communication skills

AI ethics

Program leadership

OpenAI liaison

Tools

ChatGPT Enterprise

Job description

Distinguished Engineer, Change management

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Requirements

• Experience: 16+years
• Design and implement data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements.
• Define and implement robust governance plans for multi-agent systems to ensure compliance with global regulations, data security standards, and enterprise policies.
• Should be able to create audit trails and monitoring frameworks to evaluate how AI agents make, execute, and scale decisions within enterprise environments.
• Design end-to-end change management plans tailored to the integration of autonomous agents into existing human workflows.
• Must have experience in rollout, adoption, enablement, and scaling of AI tools like ChatGPT Enterprise.
• Should be able to lead enterprise adoption rollout programs, including user enablement, tool training, and governance alignment.
• Should be able to design and deliver enterprise training programs to build AI literacy at scale.
• Should have experience managing multiple technology initiatives simultaneously within globally distributed teams.

• Should be able to lead change management initiatives with leading AI partners, initially anchoring on OpenAI to support enterprise AI adoption and change management at scale across OpenAI products, while building capability across an evolving ecosystem of LLM providers.

• Excellent analytical, problem-solving, and decision-making capabilities.
• Excellent verbal and written communication skills with the ability to present complex technical concepts to both technical and business audiences.

Responsibilities

• Act as a subject matter expert during the pre-sales cycle, partnering with sales and account leadership to win new business, expand existing footprints, and position the organization as a leader in responsible Agentic AI.
• Develop metrics to track agent-human adoption rates. Analyze user interactions to identify friction points and advise on continuous UX and workflow improvements.
• Lead training and cultural initiatives to shift organizational mindset from "using tools" to "collaborating with digital agents."
• Define new operating models that embed AI into day-to-day workflows.
• Identify adoption barriers and implement strategies to drive sustained usage and value realization.
• Establish and track core KPIs related to AI adoption, ROI, risk mitigation, and operational efficiency. Present actionable insights and progress reports to C-suite and executive stakeholders.
• Partner closely with the product, engineering, and innovation teams to ensure governance and adoption requirements are baked into the architecture of new AI accelerator platforms and solutions.
• Facilitate high-impact workshops with enterprise clients to assess their AI readiness for agentic AI, understand their business challenges, and define transformation roadmaps.
• Build mastery in ChatGPT Enterprise and the ChatGPT API & Agentic capabilities, including use cases, integration workflows, and enterprise deployment models.
• Build and maintain awareness of emerging LLM platforms to enable future expansion beyond OpenAI as client needs evolve.
• Partner with alliance teams and vendors to co-develop enterprise-ready solutions, training frameworks, training materials, and adoption strategies.
• Champion ethics in AI by developing policies that mitigate bias, ensure transparency, and maintain accountability in autonomous decision‑making.

• Collaborate with cross-functional teams to develop cutting‑edge technology solutions and reusable architectural assets.
• Influence client technology strategy through workshops, consulting engagements, solution presentations, and executive‑level discussions.
• Identify opportunities to expand existing engagements through technology consulting, innovation, and AI–enabled offerings.
• Drive adoption of organizational technology initiatives, frameworks, accelerators, and best practices across projects.
• Demonstrated thought leadership through blogs, whitepapers, technical presentations, conference speaking, or industry forums.