Senior Assistant Vice President

Ex; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Ex in Bengaluru seeks an experienced technology operations leader responsible for end-to-end availability, security and resilience across service desk, end-user computing, systems and networks.

The role drives governance, capacity planning, major incident management, AI use-case prioritisation with responsible-AI governance, budgeting and team development, while ensuring risk and compliance are managed effectively.

Qualifications

Responsibilities

• Own end-to-end availability, performance, security and resilience across service desk and IT platforms.
• Lead operations governance, capacity planning, major incident and problem management.
• Identify and prioritise AI use cases by assessing value, feasibility, data readiness and risk.
• Partner with EA, Data, AI/Analytics, Engineering, Security, Legal, Risk to scale responsible AI.
• Own technology budgets, forecasts, investments, automation and cost optimisation.
• Lead workforce planning, capability development and resource allocation.
• Own operational risk and control management, audit evidence and regulatory compliance.
• Maintain leadership dashboards with KPIs and KRIs on availability, SLAs, capacity and security.
• Lead governance forums and communicate performance and risks clearly.
• Build and retain high-performing teams fostering collaboration and learning.
• Manage strategic partners and vendors for service quality and innovation.

Job description

• Own end-to-end availability, performance, security and resilience across service desk, end-user computing, systems, network, voice and site-specific platforms, delivering agreed SLAs and measurable improvements in user and client experience.
• Lead technology operations governance, capacity planning, major incident and problem management, business continuity and disaster recovery, with a focus on reducing recurring incidents and improving recovery readiness.
• Identify and prioritise business and operational AI use cases by assessing value, feasibility, data readiness, security, model risk, change impact and adoption requirements.
• Partner with Enterprise Architecture, Data, AI/Analytics, Engineering, Information Security, Legal, Risk and business teams to develop, pilot, implement and scale AI capabilities with responsible-AI governance and measurable benefits.
• Own technology budgets, forecasts, investment priorities and business cases; drive productivity, automation, cost optimisation and value realisation.
• Lead workforce and succession planning, organisation design, capability development and resource allocation to meet current and future service needs.
• Own operational risk and control management, including control design and testing, audit evidence, timely closure of findings and sustained compliance with client and enterprise requirements.
• Maintain leadership dashboards with accurate KPIs, KRIs, trends and actions covering service availability, SLA attainment, recurring incidents, capacity, security, audit closure, AI adoption, user experience, financial performance and transformation value.
• Lead client and internal governance forums, communicate performance, investment priorities and risks clearly, and ensure decisions and actions are followed through.
• Build, coach and retain high-performing teams while fostering collaboration, accountability, inclusion, continuous learning and shared success.
• Manage strategic partners and vendors, including service quality, contractual and commercial performance, innovation and alignment with enterprise priorities.