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