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, benefits 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.
- Solid 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