Senior Vice President

10 - 12 years

0 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Your role

As the Head Foundational Data, Reporting & Analytics for the Property & Casualty Reinsurance business, you will serve as a critical driver in shaping Organizations strategic data foundation. This role is based in Bangalore Development Center which we are positioning as a global capability hub for data excellence. You will take full ownership of building and operationalizing end-to-end data capabilities including data governance, data owner and delegate networks, data quality, metadata, operational reporting and analytics products. You will lead high-performing teams and collaborate deeply across business and technology functions to create high-quality, trusted, and future-ready data assets that drive decision-making and power next-generation technologies like GenAI and agentic automation. This is a senior leadership role, responsible for transforming how data is governed, consumed, and enhanced across our global P&C Reinsurance business.

What youll own and drive

? Build and lead a strategic data capability at Bangalore location: direct leadership of data, reporting and analytics teams (20 professionals) and a mandate to scale.

? Transform and lead the team: Build a strong talent pipeline, boost technical excellence, drive cultural change and establish new norms around data use and governance.

? Design and execute an enterprise-wide data strategy: define structures, roles, skills, tooling, and governance models to elevate data to a strategic asset.

? Own the data foundation: Drive end-to-end responsibility for the quality, stewardship, and lifecycle of critical Property & Casualty data assets, ensuring resilience, transparency, and usability.

? Understand data as a strategic asset: mitigate operational data risk, establish controls, monitoring and risk remediation mechanisms to address the operational exposure tied to poor or mismanaged data.

? Scale platforms: Advance the maturity of our self-service analytics platform (REAP), embedding best practices and strong product mindset to enable business users across Underwriting, Claims, Operations, and Portfolio Management.

? Foster insight-driven decision-making: Enable data-driven culture and decision support by translating operational and portfolio signals into actionable insights.

? Collaborate cross-functionally: Partner with Group Data Services, IT (Architecture, ADM, Products), Finance, Risk, and Business Owners to ensure alignment and integration of data governance and architecture frameworks.

? Future-proof data assets: Ensure our data landscape supports emerging GenAI and agentic capabilities by actively engaging with the data owner/delegate network and modernizing data standards.

? Champion change: Drive cultural and process change to embed sustainable data governance and literacy, building momentum and sponsorship at senior levels.

What we expect you to bring

? 10+ years of experience in data and analytics leadership, with 5+ years managing high-impact, cross-functional teams.

? Degree in Mathematics, Statistics, Engineering, Actuarial Science, or related quantitative fields. Insurance or P&C reinsurance knowledge is a significant advantage.

? A forward-looking mindset, with passion for emerging technologies, including GenAI, and how to align data strategies with innovative ambitions.

? Proven experience owning and delivering enterprise-wide foundational data capabilities including governance, metadata, data quality, lineage, and data product strategies.

? Deep business acumen and the ability to translate between technical, operational, and strategic contexts particularly across Underwriting, Claims, Finance, Risk, and IT.

? Strong track record of operating in large, matrixed organizations with complex data ecosystems and distributed ownership models.

? Excellent stakeholder engagement and influencing skills; you inspire trust, drive alignment, and lead through ambiguity.

? Deeply familiar with platforms such as Snowflake, Power BI, Python, and meta data tooling.

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