Role Description

About the Role
Lead the strategy, design, deployment and governance of enterprise-scale Artificial Intelligence (AI), Generative AI (GenAI), Conversational AI and Intelligent Automation initiatives across the organization. Drive business transformation through AI-led customer engagement, operational efficiency, digital servicing and intelligent decision-making platforms while ensuring regulatory compliance, risk management and measurable business outcomes.

Key Responsibilities
AI Strategy & Transformation
• Define and execute the enterprise AI roadmap aligned with business priorities and digital transformation objectives.
• Identify, evaluate and scale AI use cases across business functions including customer acquisition, servicing, sales, operations, risk and compliance.
• Establish AI operating models, governance frameworks, and adoption strategies. Enterprise AI Platform & Governance
• Oversee AI platforms, model lifecycle management, AI gateways, integrations, and enterprise architecture.
• Establish responsible AI practices, model governance, security controls, audit mechanisms, and risk management processes.
• Ensure compliance with regulatory, information security and internal governance requirements. Programme & Portfolio Management
• Manage a portfolio of strategic AI initiatives from ideation through production deployment.
• Drive business case development, budgeting, vendor selection, commercial evaluations, and programme governance.
• Track delivery milestones, advantages realization, ROI, and executive reporting. Stakeholder Leadership
• Partner with senior business leaders, operations teams, technology groups, product teams, and external partners to drive AI adoption.
• Present programme updates, business impact and strategic recommendations for executive leadership.




• Act as the central point of coordination across business, technology, analytics and vendor teams. Innovation & Emerging Technologies
• Evaluate emerging AI, GenAI and Agentic AI capabilities and identify opportunities for enterprise adoption.
• Drive experimentation, proof-of-concepts, and industrialization of innovative solutions.
• Develop reusable AI capabilities that can be leveraged across multiple business functions. Team Leadership
• Build and lead high-performing cross-functional teams comprising product managers, analysts, architects, engineers, and programme managers.
• Mentor leaders and establish delivery governance mechanisms across AI initiatives.
• Foster a culture of innovation, accountability, and continuous improvement. Role Proficiency:
• Artificial Intelligence and Generative AI
• Conversational AI and Voice Technologies
• Enterprise Architecture and Platform Strategy
• Digital Transformation
• Programme and Portfolio Management
• Product Management
• Vendor and Partner Management
• Governance, Risk and Compliance
• Business Case Development and ROI Management
• Stakeholder Management and Executive Communication
• Strategic Planning and Team Leadership

Qualifications:
• 12
- 18 years of overall experience in Banking, Financial Services, Digital Transformation, Technology Strategy, AI/ML or Enterprise Platforms.
• Strong experience leading large-scale enterprise transformation programmes.
• Proven experience managing senior stakeholders and executive-level governance forums.
• Experience delivering AI, Conversational AI, GenAI, automation or analytics-led business solutions. Education
• Bachelor's degree in Engineering, Technology, Computer Science, Mathematics or related discipline.
• MBA or equivalent postgraduate qualification preferred.

📌 EAIG:Lead – Application Engineering (Mumbai)
🏢 Axis Bank
📍 Mumbai