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Chubb

Global property & casualty insurer

Lead Business Analyst

Business AnalysisPosted on Nov 9
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 10+ years of business analysis experience in complex, enterprise-scale technology programs, including 3+ years leading analysts or workstreams, with relevant certifications such as Certified Scrum Product Owner (CSPO) or SAFe Product Owner/Product Manager (POPM).
  • Prior experience in insurance, claims or financial services, ideally across multiple APAC markets, with familiarity with the end-to-end claims lifecycle (first notice of loss, triage, adjudication, settlement, recovery), claims platforms, and the regulatory, compliance and data privacy requirements that affect claims.
  • Strong requirements elicitation, process modelling (Business Process Model and Notation 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 skills, including 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, including 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, including 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.
  • 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 Jira Query Language (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 application programming interfaces (APIs), integration patterns and data concepts, with data analysis skills such as SQL, Excel or Power BI to validate assumptions and support evidence-based decisions, and enough technical fluency to collaborate effectively with engineers and architects.
  • Hands-on, regular use of generative AI assistants such as Claude or equivalent for analysis, documentation, test design and reporting.
  • Strong prompt engineering instincts, including precise task descriptions, providing the right context and making 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), including 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.

Responsibilities

  • Own business analysis end to end for APAC claims initiatives, from elicitation and process mapping through solution definition, UAT support and release readiness.
  • Partner with Product Owners, Claims Operations and Engineering leads to turn business needs into clear, prioritised, testable backlog items.
  • Set quality standards for epics, user stories, acceptance criteria and bugs in Jira, making them sufficiently well scoped for engineers and AI coding agents to implement independently.
  • Use AI assistants such as Claude and Model Context Protocol tools to analyse documents and regulations, draft requirements, summarise 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 acceptance or sharing.
  • Link epics and stories to business outcomes and measurable key performance indicators, define success measures up front, and track benefits realisation after release with Product Owners and Claims stakeholders.
  • Plan and track analysis work across sprints and program increments, keep the backlog ready, and raise dependencies, risks and scope changes early with Product Owners and delivery leads.
  • Bring business context to incident and defect triage to drive swift root cause analysis and resolution.

About the Company

Chubb

Global property & casualty insurer

Chubb is the world’s largest publicly traded property and casualty insurer, offering commercial and personal insurance, reinsurance, life and health products across 54 countries. It underwrites policies by evaluating risk, pricing premiums, and paying claims fairly and promptly when covered events occur. Its breadth of products, extensive distribution, and strong financial position distinguish it from competitors and enable it to serve diverse clients globally. Its goal is to help people and businesses manage risk with clear policy terms and reliable financial protection.

Company size
10,001+
Company stage
IPO
Headquarters
Zurich, Switzerland
Founded
1985

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