Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.
Job Title: Head of Technology Transformation & Delivery, India
Function/Department: Technology
Own the AI native delivery transformation agenda across the software development life cycle, from planning through operations, with a focus on advancing AI-native ways of working across engineering teams. This role partners with CIOs, Business Unit leaders, and Engineering leads to translate business strategy into delivery roadmaps. The role drives large-scale, high-stakes transformation programs and positions AI adoption as a core measure of delivery maturity.
Define and own the end-to-end delivery AI Tech transformation roadmap across the AI-PDLC, aligning architecture, applications, data, AI, infrastructure, and security teams with business priorities and governance requirements.
Lead the enablement program across large-scale, multi-team, multi-geography transformation programs, establishing governance structures, success metrics, and executive reporting, including steering committee cadences.
Manage delivery cadences, escalation paths, and risk frameworks, and drive vendor strategy and commercial negotiations to accelerate transformation and optimize cost.
Own end-to-end delivery of multi-million-dollar programs, ensuring milestones are met and outcomes deliver measurable value.
Lead adoption of AI-native delivery practices across the PDLC, with hands-on experience in AI-assisted development, testing, release pipelines, and documentation.
Drive engineering teams from AI-aware to AI-native, establishing measurable adoption milestones and a governance framework for responsible AI use.
Identify opportunities to automate delivery coordination, risk modeling, and resource optimization through AI.
Build and lead cross-functional teams, fostering agility, accountability, and continuous improvement.
Champion Agile and data-driven ways of working across the organization.
Be a player coach delivery managers and facilitate workshops that help teams solve complex business challenges.
Why Join Us?
Why Chubb?
Join Chubb to be part of a leading global insurance company!
Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
Our recruitment process is designed to be transparent, and inclusive.
With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.
Apply Now: Search Jobs - Chubb Careers
Bachelor's degree in Computer Science, Engineering, or a related technical field. A Master's degree or MBA is strongly preferred.
20+ years of progressive experience in technology delivery, digital transformation, or enterprise program management, including at least 10 years leading large-scale delivery transformation in a global, matrixed environment.
Expert-level understanding of the full software development life cycle, with a proven track record of re-engineering PDLC processes to improve velocity, quality, and business alignment.
Very strong hands-on background in software engineering, cloud and infrastructure, CI/CD pipelines, DevSecOps, API and integration design, and modern application architecture. Credible in solutioning alongside senior engineers and architects, with the authority to challenge technical decisions directly.
Demonstrated experience applying AI native software engineering and large language models within an engineering context, such as AI-naive software development, automated testing, or predictive project management.
Exceptional executive presence, with a proven ability to act as a trusted advisor to CIOs and business leaders and to translate complex technical challenges into clear business outcomes.
Proven ability to manage multi-million-dollar technology portfolios across multiple time zones and business units, and to connect delivery performance to financial returns, P&L impact, and competitive advantage.
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