AVP AI and Data Engineering- Global Specialty

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.   

The Hartford is seeking an experienced and visionary Assistant Vice President (AVP) of AI and Data Engineering to lead our Global Specialty Data and Analytics portfolio. This strategic leader will drive the modernization of our data and analytics ecosystem, aligning with business objectives leveraging AI, cloud technologies, and a modern technology stack.

The ideal candidate has experience in developing large scale data ecosystems including data domains, data products, AI/ML solutions, analytics and business intelligence. The AVP will lead the development and implementation of advanced data engineering and AI capabilities. This is an opportunity for a forward-thinking data and analytics leader to influence the future of The Hartford.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Chicago IL, Hartford CT, Danbury CT, Alpharetta GA or Charlotte NC) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office can be in remote work arrangement with the expectation of coming into the office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.

Key Responsibilities:

• Strategy and Execution: Lead the strategy and execution of complex and large Global Specialty Data and Analytics portfolio.
• Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
• Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
• Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
• AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
• Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
• Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
• Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.
• Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
• Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
• Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
• Budget Management: Effectively manage the budget and financials for GS Data and Analytics portfolio.
• This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases.
• Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
• Partners with technology, data, AI platform, MLOps and Architecture teams to influence technology, data, platform and tooling strategy.

Qualifications

• 15+ years in data engineering, data management and building large-scale data ecosystems.
• Bachelor's or Master’s degree in Computer Science, Data Science or a related field.
• 5+ years in senior leadership roles managing large and complex data and analytics portfolio with a people budget of at least $10M.
• Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
• Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities.
• Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
• Strong experience with GCP, Vertex AI or AWS required.
• Experience in multi cloud environment
• Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
• Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
• Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
• Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. 
• Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
• Preferred experience in the Property & Casualty insurance industry.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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