Accountability for time, cost, investment, scope, quality, and delivery.

- Translate product and business requirements into feasible AI implementation roadmaps, including timelines, resources, investments, and expected outcomes.
- Define and manage program milestones, deliverables, dependencies, critical paths, risks, and governance to ensure on-time delivery.
- Drive supplier execution through explicit SoW, deliverables, KPIs, commercial milestones, and acceptance criteria.
- Manage program budget and investment, tracking actuals vs. plan and driving cost optimization without compromising delivery objectives.
- Drive AI solutions through PoC → pilot → validation → production deployment, ensuring readiness at every stage and adherence to committed timelines.




- Establish and track delivery, AI performance, quality, cost, scalability, and business-value KPIs.
- Proactively manage risks, issues, changes, and dependencies, ensuring timely decisions and corrective actions.
- Provide transparent program status, investment, schedule, risk, and delivery reporting to senior management and stakeholders.
- Drive industrialization and scaling of successful AI solutions across products, maximizing return on AI investment and creating reusable implementation frameworks.

📌 Product AI Implementation – Program Manager (Chennai)
🏢 Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]
📍 Chennai