EAIG:Lead – Application Engineering

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.
• 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.