AI Strategy Manager

Responsibilities:
Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI transformation use cases.
Design and articulate an end-to-end agentic solution for enterprise process/functional use cases, the agent hierarchy, target-state agentic architecture, value streams, agent interaction 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 a 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 realisation.
Drive business readiness and change management by defining stakeholder engagement, communication, training, and adoption plans for AI transformation initiatives.
Requirements:
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 organisational readiness for AI adoption.
Strong consulting, executive communication, stakeholder management, and problem-structuring skills with experience leading cross-functional delivery teams.

Experience
8-12 yrs