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Crescendo Global Leadership Hiring India

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Business Analyst- AI - Insurance Underwriting

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Summary

Business analyst/project manager (5-9 yrs) leading end-to-end underwriting change and transformation programmes for UK & European regulated insurance markets, using agile delivery and change management while assessing AI, generative AI, and automation opportunities in underwriting workflows.

Job Description - Business Analyst / Project Manager

5+ Years

NOIDA/GURUGRAM/BANGALORE/PUNE




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).


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