AVP, Head of Enterprise Insights & Generative BI

AVP, Head of Enterprise Insights & Generative BI

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

As the Global Head of Enterprise Insights (EI) & Generative BI, you will be a visionary and strategic leader responsible for defining and executing the enterprise-wide strategy for using Generative AI (GenAI) to revolutionize our business intelligence capabilities. The leader in the role will lead a team in reimagining next-generation, AI enabled BI & analytics solutions, empowering stakeholders across all functions with automated, personalized, and actionable insights.

You will drive innovation, foster a data‑driven culture, and ensure the delivery of secure, high‑quality, and scalable GenBI solutions. You will also provide oversight for strategic Third Party Data relationships, ingestion platforms leveraged by our enterprise consumers.

This role can have a Hybrid or Remote work arrangement. Candidates who live near our offices will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.

• Define and execute a multi-year strategy for Enterprise Insights (Business Intelligence including Generative BI) aligned with business goals.
• Modernize legacy BI platforms and establish a GenBI Center of Excellence.
• Evaluate emerging technologies (e.g., conversational BI) to enhance competitive advantage.
• Expertise in integrating semantic/ontology-driven BI platforms with emerging GenAI tools to deliver contextual, personalized insights.
• Build and lead a high‑performing GenBI team of BI professionals and GenAI experts.
• Build discoverable insights into an Insights Marketplace.
• Develop and promote standardized best practices for enterprise BI and GenBI development.
• Champion adoption of these standards across diverse and decentralized teams.
• Manage vendor relationships and track performance via OKRs.
• Lead product management for BI solutions, data platform products (IaaS/PaaS), and Third Party Data from ideation to execution.
• Ensure product alignment with business and internal customer goals and roadmaps.
• Develop and deploy GenAI‑powered BI solutions including real-time dashboards, predictive models, and automated NLP‑driven reporting.
• Create intuitive, personalized user experiences to drive adoption.
• Act as a strategic advisor to senior leadership, translating data into actionable insights.
• Partner across functions to deliver tailored BI solutions and communicate complex data effectively.
• Collaborate across Enterprise Data Services, AI & Analytics, and business functions to maintain platform roadmaps and prioritize requirements.
• Lead Third Party Data strategy teams to integrate and utilize external data sources effectively.
• Manage business requirements and vendor relationships for third party data.
• Promote a data-driven culture through training and education on GenBI tools and best practices.
• Collaborate with cybersecurity and governance teams to ensure ethical, secure, and compliant GenBI deployment.
• Stay current with BI and GenAI trends.
• Pilot and implement new technologies to continuously enhance BI capabilities.

• Minimum of 12+ years of experience in business intelligence, data analytics, and/or data warehousing, with a proven track record of leadership.
• Experience implementing robust semantic layers, sophisticated context engineering and knowledge graphs with ontology.
• Extensive experience with modern BI solutions (Tableau, Thought Spot, Strategy etc.) integrated with complex cloud data ecosystems on AWS & GCP.
• Experience with related platforms & services, including Vertex AI, knowledge graphs, vector databases, data warehouses (preferably Snowflake) etc.
• Significant experience building, deploying, and managing GenAI or other AI/ML…