Responsibilities Define and execute the enterprise-wide AI, Data, Analytics, and Automation strategy aligned with business objectives. Lead AI, GenAI, Machine Learning, Data Engineering, Analytics, and Automation programs to drive business growth and operational efficiency. Establish enterprise Data Governance and AI Governance frameworks, ensuring data quality, privacy, security, ethical AI usage, and regulatory compliance. Partner with business and technology leaders to identify, prioritize, and deliver high-value AI and data initiatives across the organization. Oversee secure, scalable, and resilient AI and data platforms, ensuring effective management of the data and AI lifecycle. Build and lead high-performing teams across Data Science, AI Engineering, Analytics, Data Management, and Automation functions. Provide executive and board-level leadership on AI, data, innovation, risk management, value realization, and digital transformation outcomes. Preferred skills Foundational->Program Management->Stakeholder Management,Technology->AI-Machine Learning->Responsible AI->ethical ai,Technology->Analytics and BI->Data Architecture Education Master Of Engineering,Master Of Science,Master Of Technology,MCA,PGDM,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology,BCA