Product AI Implementation – Program Manager

Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mahindra and Mahindra Limited in Chennai is seeking an AI program manager to own time, cost, investment, scope, quality, and delivery for strategic AI initiatives. You will translate product and business requirements into feasible AI implementation roadmaps with timelines, resources, and expected outcomes.

You will define milestones, manage dependencies, risks, and governance to ensure on-time delivery, while driving cost optimization and scalable AI deployments across products.

Responsibilities

• 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 clear 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.

Job description

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 clear 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.