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.
