About the role
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.