Roles 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.

Educational Requirement

- Master of Engineering
- Master of Science
- Master of Technology
- MCA
- PGDM
- Bachelor of Science
- Bachelor of Engineering
- Bachelor of Technology
- BCA

Preferred Skills

- Foundational->Program Management->Stakeholder Management
- Technology->AI-Responsible AI->Responsible AI->ethical AI
- Technology->Data Management->Data Architecture

Service Line

- Application Development and Maintenance

📌 DNA Industry Pirncipal GCC Professional (Hyderabad)
🏢 Infosys
📍 Hyderabad