Business Analyst/Project Manager - Insurance - UK/Europe Markets

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon/Gurugram","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":72,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Job Description: Business Analyst / Project Manager Role & Responsibilities: - Lead end-to-end underwriting change and transformation initiatives across UK & Europe, ensuring delivery of complex programmes in regulated insurance environments. - Partner with underwriting, technology, data, and operations teams to define target-state operating models and design business and technical solutions that deliver measurable outcomes. - Drive agile, hybrid, and product-based delivery approaches, facilitating sprint ceremonies, prioritisation decisions, and cross-functional ways of working to accelerate business value. - Engage and influence senior stakeholders across underwriting, actuarial, risk, compliance, and technology functions, adapting communication style to audience and building consensus on change priorities. - Lead business readiness and change management activities including impact assessments, training needs analysis, communications planning, and adoption tracking to ensure sustainable transformation outcomes. - Identify, track, and resolve risks, dependencies, and delivery impediments across cross-functional teams, escalating where necessary and maintaining delivery momentum. - Translate complex underwriting business challenges into clear requirements and technology-enabled solutions, working closely with data, AI, and engineering teams to define scope and acceptance criteria. - Assess AI, Generative AI, advanced analytics, and intelligent automation opportunities within underwriting workflows, and build the business case for their adoption in line with responsible AI governance principles. - Support analysis activities including current-state process mapping, gap analysis, data flow assessment, and future-state design across underwriting platforms and operations. - Foster a collaborative, psychologically safe team environment that models empathy, integrity, and respectful challenge, enabling high-performance delivery across onshore and offshore teams. Candidate Profile: - Bachelor's degree or higher in Business, Finance, Insurance, Computer Science, or a related discipline (Required). - 6+ years of experience delivering complex change or transformation programmes in regulated environments, with direct exposure to insurance underwriting operations in UK & European markets (Required). - End-to-end underwriting knowledge including policy lifecycle, risk assessment, pricing, bordereaux management, and reinsurance is essential (Required). - Proven experience working with agile, hybrid, or product-based delivery teams; familiarity with frameworks such as SAFe, Scrum, or Kanban (Required). - Strong stakeholder engagement and facilitation skills, with demonstrated ability to influence senior business and technology leaders and adapt style to audience (Required). - Practical knowledge of change management, business readiness, and adoption methodologies (e.g., Prosci, ADKAR, or equivalent) (Required). - Experience supporting or delivering digital, data, AI, or automation-enabled transformation in an insurance or financial services context (Strongly preferred). - Understanding of AI, Generative AI, advanced analytics, and intelligent automation technologies and their practical application to underwriting workflows (Strongly preferred). - Ability to assess AI opportunities, translate business problems into technology-enabled solutions, and communicate measurable outcomes to non-technical stakeholders (Preferred). - Familiarity with responsible AI principles, including governance, risk, data privacy, and security considerations in regulated environments (Preferred). - Strong analytical and problem-solving skills with a pragmatic, outcome-focused approach; comfortable operating in ambiguous and complex organisational environments (Required). - Resilient, commercially aware, and committed to continuous learning and improvement; curious mindset with a passion for innovation in the insurance sector (Required).