A senior leadership role accountable for shaping, architecting, and delivering customer-centric data and advanced analytics solutions for insurers, reinsurers, MGAs, and brokers. The position owns end-to-end solution strategy across data platforms, BI/MI, advanced analytics, and AI/ML; sponsors enterprise transformation programs; and collaborates across functions to translate client priorities into scalable, industrialized offerings.
Key Responsibilities :
1. Transformation & Strategic Consulting :
– Advise clients on holistic data & analytics transformation roadmaps spanning data foundations, self-service MI, predictive analytics, and AI-enabled operations.
– Identify, shape, and prioritize high-impact use cases across underwriting, pricing, claims, finance, and distribution including underwriting workbench insights, loss-cost modeling, claims triage, and producer analytics.
– Define measurable outcomes and quantified value cases tied to expense ratio, loss ratio, speed-to-market, and data quality uplift.
2. Client Engagement and Solution Strengthening :
– Lead the design and deployment of end-to-end data and analytics solutions, covering data platforms, MI/BI, advanced analytics, and AI/ML.
– Serve as a business architect, partnering with clients to envision and deliver outcomes powered by agentic AI offerings.
– Own the full solution lifecycle from problem framing and use-case selection through architecture, deployment, and realized business value.
– Drive RFPs, proposals, and client demonstrations for data, analytics, and reporting opportunities, articulating business value and operating models with clarity.
– Ensure every solution is resilient, scalable, secure, and aligned with both client objectives and enterprise architecture standards.
3. Techno-Functional & Domain Leadership :
– Act as a subject matter expert at the intersection of P&C insurance and data/analytics.
– Bridge actuarial, underwriting, claims, and technology teams on solution feasibility, data requirements, and implementation pathways.
– Maintain fluency in modern data stacks, cloud platforms, AI/ML techniques, and the broader insurtech ecosystem to continually sharpen the practice’s offerings.
4. Cross-Functional Collaboration:
– Partner with delivery, process excellence, digital platform, and technology teams to architect and deliver integrated data solutions.
– Engage digital and platform teams on architecture, integration patterns, and deployment models such as cloud data lakes, warehouses, and API-driven services.
– Work alongside business units and CoEs to embed analytics and AI directly into operational workflows underwriting workbenches, claims systems, and portals.
– Support joint opportunity validation, solution scoping, and go-to-market planning in close coordination with sales and account leadership.
5. Innovation & Continuous Improvement :
– Champion innovation through automation, AI/ML, and advanced analytics including propensity modeling, fraud detection, segmentation, and pricing support.
– Build and evangelize reusable assets, accelerators, data models, dashboards, and playbooks that reflect data & analytics offerings.
– Continuously refine solutioning methodologies, delivery toolkits, and stakeholder engagement practices to elevate speed, consistency, and business impact.
Key Skills & Competencies Domain & Functional :
– Deep grasp of the P&C insurance value chain underwriting, pricing, claims, finance, and distribution and the associated data/analytics use cases.
– Demonstrated ability to translate complex business and risk problems into practical, scalable data and analytics solutions.
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