Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Chubb India is seeking a Lead Business Analyst to shape requirements, process design and delivery for a multi-market insurance platform. You will lead discovery, specify solutions and guide AI-assisted analysis while ensuring compliance and data protection across APAC regions.
You will bridge business needs with technology, manage a priority-driven backlog, coordinate with owners and delivery leads, and drive measurable outcomes through strong stakeholder collaboration.
About Chubb
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: http://www.chubb.com/
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a startup mindset that promotes collaboration, diverse perspectives, and a solution driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Job Title: Lead Business Analyst
Function/Department: Business Analysis
Location: Hyderabad
Employment Type: Full-time
Join Chubbs APAC Claims Technology team as a Lead Business Analyst, shaping the requirements, process design and delivery of a next-generation, multi-market insurance claims platform. This is not a conventional business analysis role. You will work in an AI-augmented delivery model where AI agents help draft epics and stories, analyze requirements, generate test scenarios and keep documentation current, and you will lead how the team uses these capabilities responsibly. You act as the key link between Claims business stakeholders (Product Owners, Production Support Operations. engineering teams and set the standard for requirement quality across the region.
You will be part of the APAC Claims Technology team, a regional group within Chubb Global Claims Technology. The team is responsible for technology delivery, platform engineering, and product feature adoption across the APAC region, serving Insureds, Agents, and diverse Chubb customer segments on the claims platform.
Lead discovery to delivery Own business analysis end to end for APAC claims initiatives: elicitation, process mapping, solution definition, UAT support and release readiness
Bridge business and technology Partner with Product Owners, Claims Operations, and Engineering leads to turn business needs into clear, prioritized, testable backlog items
Own story quality Set the bar for epics, user stories, acceptance criteria and bugs in Jira, well scoped enough for engineers and AI coding agents to implement independently
Work with AI as a partner Use AI assistants such as Claude and Model Context Protocol (MCP) tools to analyze documents and regulations, draft requirements, summarize stakeholder input, generate acceptance criteria and test scenarios, and query and update Jira and Confluence. Set team standards for prompts, story templates and review checkpoints, and validate AI output against business rules, regulatory expectations and data privacy requirements before it is accepted or shared
Deliver business value Link epics and stories to business outcomes and measurable KPIs, define success measures up front, and track benefits realisation after release with Product Owners and Claims stakeholders
Drive analysis delivery Plan and track analysis work across sprints and program increments, keeping the backlog ready, and raising dependencies, risks and scope changes early with Product Owners and delivery leads
Support operations Bring business context to incident and defect triage to drive swift root cause analysis and resolution
10+ years of business analysis experience in complex, enterprise-scale technology programs, including 3+ years leading analysts or workstreams, with relevant certifications such as CSPO or SAFe POPM
Prior experience in insurance, claims or financial services, ideally across multiple APAC markets, with familiarity with the end-to-end claims lifecycle (FNOL, triage, adjudication, settlement, recovery), claims platforms, and the regulatory, compliance and data privacy requirements that affect claims
Strong requirements elicitation, process modelling (BPMN or equivalent), as-is and to-be and gap analysis, user story writing and acceptance criteria definition
Requirements documentation and traceability: business and functional requirements, use cases, non-functional requirements and traceability from requirement to test and release
Business value and prioritisation: value-based prioritisation (for example MoSCoW or WSJF), business cases with cost-benefit and impact analysis, outcome-based success measures, and validating that delivered solutions achieve the intended value
Strong analytical thinking and problem-solving, with the ability to resolve ambiguity and conflicting stakeholder needs
Proven Agile delivery and product backlog management: refinement, sprint planning and UAT coordination, and building and sequencing the backlog from roadmap to sprint level with a clear definition of ready and done
Delivery planning and coordination skills: supporting sprint and program increment planning, release readiness, and maintaining risks, issues and dependency logs in partnership with Product Owners and delivery leads
Cross-team dependency management through close collaboration between Product Owners and Business Analysts: jointly identifying, prioritising and resolving dependencies across teams and aligning scope, priorities and delivery commitments to keep work on track
Leadership qualities: ability to inspire, coach and develop analysts, lead by example, make sound decisions under ambiguity, take ownership and accountability, and build trust with senior stakeholders
Advanced Jira and Confluence skills, including JQL, dashboards, workflows and reporting
Strong stakeholder management, facilitation and negotiation skills, with the ability to influence senior business and technology leaders
Working knowledge of APIs, integration patterns and data concepts, with data analysis skills (for example SQL, Excel or Power BI) to validate assumptions and support evidence-based decisions, and enough technical fluency to collaborate effectively with engineers and architects
Excellent verbal and written communication, with the ability to collaborate across distributed, cross-functional teams.
Comfort with AI-assisted analysis and agentic tooling is a core expectation, not a bonus.
Hands-on, regular use of generative AI assistants (Claude or equivalent) for analysis, documentation, test design and reporting
Strong prompt engineering instincts: precise task descriptions, the right context, and well-scoped requests that produce reliable output
Ability to write clear, well-scoped story files that AI coding agents can implement independently
Basic understanding of Model Context Protocol (MCP), the standard that lets AI assistants call tools such as Jira and Confluence
Awareness of Retrieval-Augmented Generation (RAG): how structured context, good naming and explicit documentation improve AI output
Understanding of responsible AI, including hallucination risk, bias, data privacy, confidentiality and human-in-the-loop review
Ability to critically evaluate AI output against business rules, policy wording and regulatory requirements before acceptance
Experience identifying and shaping AI and automation use cases, and measuring their business value
Experience with structured agentic development methodologies such as BMAD, where AI agents participate across the delivery lifecycle
Join Chubb to be part of a leading global insurance company!
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:
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.