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The Hartford Insurance is seeking an Assistant Vice President (AVP) of AI and Data Engineering to lead the development and implementation of advanced AI and data engineering solutions to drive business transformation and enhance customer experiences.

Requirements

• Mastery level Data Engineering and Architecture skills – a deep understanding of data architecture patterns, data warehouse, integration, data lake, data domains, data products, BI, and cloud technology capabilities.
• Experience integrating ML solutions with cloud platforms like AWS SageMaker, GCP Vertex AI and leveraging their pre-built capabilities.
• Technical expertise in: Large Language Models (LLMs) and Generative AI platforms (Anthropic, OpenAI), Prompt engineering and LLM optimization techniques, Retrieval-Augmented Generation (RAG) architectures, Vector database implementations (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
• Experience with GCP, Cloud AI, Vertex AI, and Big Query required.
• Hands-on experience in Lang chain and building AI agents.
• Experience in Vertex AI agent builder and Google Agent space.
• Knowledge in building hybrid data lake-houses involving more than one cloud vendor partner.

Responsibilities

• Lead the execution of enterprise-wide data strategy, ensuring alignment with AI-driven transformation goals.
• Create the roadmap and plan to modernize the legacy data platform to strategic cloud platform.
• Design and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
• Partner with Technology teams to implement a data exchange strategy with Third-Party Administrators (TPAs).
• Build, mentor, and lead a high-performing team of data engineers and architects.
• Drive efficiency and Productivity: Identify and champion developer productivity opportunities across the end-to-end data management lifecycle.
• Oversee the design, development, and maintenance of data pipelines, warehouses, and lakes.

Other

• Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field.
• 15+ years in data engineering, designing, and developing large-scale data ecosystems.
• A minimum of 3 years of experience in progressively responsible leadership roles (through to the senior management level), managing medium to large-sized teams and cross-functional initiatives
• Excellent presentation and storytelling skills to communicate complex technical concepts to both technical and non-technical audiences
• Must be eligible to work in the US without company sponsorship now or in the future.