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.

Role Summary

• Min. 10 yrs overall, incl. AI & data projects

• High-value consulting; large-scale delivery with minimal oversight

• Has led at least one end-to-end process reengineering or reinvention engagement

• Process modelling and requirements definition at enterprise scale

• Manages senior stakeholders

• Awareness of AI governance and regulation (e.g., EU AI Act, model risk)

• Structured problem-solving; program management; strong communication

Qualifications & Certifications

• Bachelor's degree (relevant discipline); MBA preferred