Role Overview :

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.

Technical & Architectural :

- Strong command of modern data engineering and analytics stacks, including cloud data platforms, ETL/ELT, data quality, MDM, and reporting tools.

- Hands-on experience applying advanced analytics and AI/ML in insurance predictive modeling, NLP, risk scoring, and intelligent automation.

- Working knowledge of APIs, integration patterns, and cloud architectures that underpin data-driven solutions.

Solutioning & Consulting :

- Proven track record in solution architecture, proposal development, and RFP management for data and analytics engagements.

- Compelling storytelling and executive communication skills that connect data initiatives to P&L and balance sheet outcomes.

Collaboration & Leadership :

- Strong stakeholder management and influencing capabilities across business, actuarial, IT, and operations.

- Demonstrated ability to lead virtual, cross-functional global teams and to mentor SMEs and data professionals.