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AVP, Head of Enterprise Insights & Generative BI

Remote / Online - Candidates ideally in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: The Hartford
Part Time, Remote/Work from Home position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

AVP IT Management - IM05AE

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.

Responsibilities
  • 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
  • Oversee program management to deliver committed platform capabilities
  • 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
Qualifications
  • 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…
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