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Hiring for InsureTech co and incumbent MUST have Insurance domain exp.
Role: Business Architect - AI & Insurance Transformation.
Location Gurgaon/ BLR/ Pune/ Noida.
Experience 10 to 14 years.
Role Overview:
We are looking for a strategic and hands-on Business Architect to bridge the gap between business strategy and technology execution.
The ideal candidate should have deep experience in insurance domain operations, a strong understanding of AI and digital transformation, and the ability to design scalable business capabilities aligned with enterprise goals.
Required Skills & Experience:
- 10+ years of experience in business analysis, enterprise/business architecture, or solution design.
- Strong knowledge of insurance operations, such as underwriting, claims, policy admin, etc.
- Exposure to AI/GenAI use cases in insurance or BFSI sectors.
- Experience with business modeling techniques (e., BPMN, capability mapping, value streams).
- Ability to drive cross-functional workshops and lead structured discovery sessions.
- Understanding of enterprise architecture frameworks (TOGAF, BIZBOK, etc.) is a plus.
- Strong communication and documentation skills with C-level exposure.
Key Responsibilities:
- Define and maintain business capability maps, value streams, and process models.
- Align business architecture with strategic goals and digital transformation roadmaps.
- Collaborate with product, data, and engineering teams to translate business needs into scalable solutions.
- Identify opportunities to leverage AI/GenAI for business process optimization.
- Work with business stakeholders to assess current-state processes and define target-state architectures.
- Support solution architects and product managers by providing business context and models.
- Ensure alignment between business processes, data flows, and technology enablement.
- Contribute to business case development, investment planning, and value realization tracking.
Nice to Have:
- Certification in Business Architecture (e., BIZBOK, TOGAF, SAFe).
- Hands-on experience working with AI delivery teams or product squads.
- Familiarity with agile delivery and digital platforms (low-code/no-code tools).
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