Enterprise AI Value Strategy– Manager

Highlights:

 8.00 – 12.00 Years

 13.00 – 40.00 INR (Lacs)/Yearly

 Full-time

 Mumbai, Delhi, Gurgaon, Bengaluru, Pune

Skills

ai strategy

Roles & Responsibility

Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI

transformation use cases.

• Design and articulate end-to-end agentic solution for enterprise process/functional use-cases — the

agent hierarchy, target-state agentic architecture, value streams, agent interation models and

transformation roadmaps. (with technical depth and agentic system build experience in 1 platform or

functional area – GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)

• Assess enterprise data maturity, governance and technology readiness to shape scalable AI adoption.

• Lead solution definition across business, architecture, data, and engineering teams while ensuring

end-to-end traceability from business value to implementation.

• Develop value framework for Agentic AI with the right industry/clinet context. Using the framework,

build executive business cases including value estimation, investment requirements, KPIs, and benefits

realization.

• Drive business readiness and change management by defining stakeholder engagement,

communication, training, and adoption plans for AI transformation initiatives.

Good to Have

* Experience defining enterprise data strategies, data products, and AI-ready data foundations.

* Exposure to knowledge architecture, semantic layers, and enterprise knowledge management.

* Experience designing AI governance frameworks, operating models, and organizational readiness for

AI adoption.

* Strong consulting, executive communication, stakeholder management, and problem-structuring skills

with experience leading cross-functional delivery teams.

Requirements

Practice: Technology Strategy & Transformation, Global Network

Areas of Work: Enterprise AI Value Strategy

Level: Manager

Location: Bangalore/Gurugram/Mumbai/Pune/Chennai/Kolkata/Hyderabad

Years of Exp: 10+ years

Basic Requirements

• Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI

transformation use cases.

• Design and articulate end-to-end agentic solution for enterprise process/functional use-cases — the

agent hierarchy, target-state agentic architecture, value streams, agent interation models and

transformation roadmaps. (with technical depth and agentic system build experience in 1 platform or

functional area – GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)

• Assess enterprise data maturity, governance and technology readiness to shape scalable AI adoption.

• Lead solution definition across business, architecture, data, and engineering teams while ensuring

end-to-end traceability from business value to implementation.

• Develop value framework for Agentic AI with the right industry/clinet context. Using the framework,

build executive business cases including value estimation, investment requirements, KPIs, and benefits

realization.

• Drive business readiness and change management by defining stakeholder engagement,

communication, training, and adoption plans for AI transformation initiatives.

Good to Have

* Experience defining enterprise data strategies, data products, and AI-ready data foundations.

* Exposure to knowledge architecture, semantic layers, and enterprise knowledge management.

* Experience designing AI governance frameworks, operating models, and organizational readiness for

AI adoption.

* Strong consulting, executive communication, stakeholder management, and problem-structuring skills

with experience leading cross-functional delivery teams.