Data Engineer
Berkshire Hathaway GUARD Insurance Companies
AzureCloudETLPythonSQL
AVP, AI and Data Engineering – Global Specialty
The Hartford
full-time
Posted on:
Location Type: Hybrid
Location: Hartford • Connecticut, Illinois, North Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $270,000 per year
Job Level
Lead
Tech Stack
AWSCloudGoogle Cloud PlatformPostgres
About the role
- Lead the strategy and execution of complex and large Global Specialty Data and Analytics portfolio
- 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
- 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
- Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions
- Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery
- Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems
- Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers
- Identify and champion developer productivity improvements across the end-to-end data management lifecycle
- Stay current with emerging trends in data engineering and AI/ML and recommend innovative tools and technologies to enhance data capabilities enabling business strategy
- Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices
- Effectively manage the budget and financials for GS Data and Analytics portfolio
Requirements
- 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
Benefits
- Other rewards may include short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata managementdata architecturedata warehousedata integrationdata lakesbusiness intelligencecloud technologyAI platformsLLM optimization
Soft skills
strategic thinkinginnovative thinkingpresentation skillsverbal communicationwritten communicationleadershipnegotiationinfluencingconflict resolutioncross-functional relationship building
