The Hartford · 20 hours ago
Manager, AI Data Engineering
Hartford, CT
Full-time
Hybrid
Mid, Senior Level
$127K/yr - $191K/yr
8+ years expThe Hartford is an insurance company committed to making a difference and is seeking a skilled Data Engineering Manager to join their Employee Benefits team. This role involves leading a team to implement cloud-based data solutions and drive AI data engineering best practices to support various data consumers.
Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance
No H1B
Responsibilities
This is a hands-on leadership role
Manage and mentor team of data engineers
Data Modernization: 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
Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders
AI Data Engineering lead 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
Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise
Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems
Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI
Leadership: Build, mentor, and lead a high-performing team including business data analysts and data 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
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 the portfolio
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
Qualification
Required
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric
Specialized data engineering experience focused on supporting Generative AI technologies
Strong hands-on experience implementing production ready enterprise grade AI data solutions
Experience with prompt engineering techniques for large language models
Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models
Experience of vector databases and graph databases, including implementation and optimization
Experience in processing and leveraging unstructured data for AI applications
Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph)
Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions
Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.)
Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders
Preferred
Experience in multi cloud hybrid AI solutions
AI Certifications
Experience in P&C or Employee Benefits industry
Knowledge of natural language processing (NLP) and computer vision technologies
Contributions to open-source AI projects or research publications in the field of Generative AI
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Company
The Hartford
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-12-15IPO
Leadership Team
Christopher Swift
Chief Executive Officer
Recent News
2025-12-09
2025-12-08
Company data provided by crunchbase