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Key Responsibilities:
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.
10-12 yrs.
Program & Portfolio Management
AI & GenAI Program Delivery
Supplier & Vendor Management
Investment & Budget Governance
Risk & Issue Management
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Mahindra Group is an Indian multinational conglomerate operating across automotive, farm equipment, IT, financial services, real estate, and hospitality. Founded in 1945 and headquartered in Mumbai, it is one of India's largest business groups with operations in over 100 countries.
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