Manager Data Engineering

Responsibilities

• Lead and mentor Data Engineers to deliver and maintain reusable and sustainable analytical processes that assist Actuarial Modelers in meeting their strategic objectives
• Learn and coach Machine Learning, MLOps, Engineering, and Insurance Business concepts & terminology, applying that knowledge for the best fit-to-purpose solution
• Anticipate team and individual growth needs, identify relevant opportunities and coach direct reports and peers accordingly
• Regularly engage in continuing education, including the development of project and people management skills
• Consult with cross‑functional stakeholders in the analysis of short and long‑range business requirements and recommend modernization that anticipates future business needs
• Own and lead engineering projects, leveraging agile software development practices to manage work and communicate status
• Assess business needs and lead the development of reliable and effective solutions that are catered to specific business needs and easily maintainable
• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption; perform data analysis to ensure quality of data assets
• Design and develop high quality, scalable software modules for next‑generation analytics solutions that serve advanced statistical models and track key metrics
• Enhance and maintain model and data monitoring solutions that deliver automated insights to technical and non‑technical audiences
• Identify and validate internal and external data sources for availability and quality; work with SMEs to describe and understand data lineage and suitability for a use case
• Proactively address technical issues and risks that could impact speed, functionality, flexibility, or clarity
• Use Enterprise Git Hub for version control, documentation, code collaboration, and technical project management

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) 3 days a week (Tuesday through Thursday).

• 4+ years of programming experience in a business setting
• Experience in managing Data Engineers or leading Engineering project teams within an Analytics context and in an agile environment
• Interest in deeply learning and understanding the Insurance Business and Actuarial role
• Proficiency in SQL and at least one additional functional or object‑oriented programming language such as R or Python
• Experience with data or process management solutions in the cloud, including data pipelines, automation, and containerized compute
• Proficiency in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
• Proficiency in ETL concerning metadata management and data validation
• Proficiency with Git in a collaborative business setting
• Proficiency in Linux‑based file management
• Ability to communicate effectively with both technical and non‑technical teams
• Demonstrated ability to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
• Curious and passionate for R&D and innovation

• Bachelor’s or Master’s degree in a related discipline or 5+ years of equivalent experience in relevant engineering roles
• AWS Certification or experience with AWS Services (S3, EMR, etc.) is strongly preferred
• Experience with Insurance data, especially with Actuarial data processes, is preferred
• Experience with R and Python is preferred
• Exposure to Machine Learning, Statistical Modeling, or MLOps in a business context is preferred
• Proficiency in Automation tools (Airflow, Cron, Autosys, etc.) is a plus
• Experience with Cloud data warehouses, automation, and data pipelines (e.g., Snowflake, Redshift) is a plus
• Experience building CICD pipelines or IAC (Infrastructure as Code) desired

Candidate 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.

$127,200 - $190,800

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

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