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 and 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 solution suite that serves advanced statistical models and tracks 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 accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity.
Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management

Requirements

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 & 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

Benefits

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

SQLRPythonETLdata pipelinesdata validationHadoopSparkLinuxdata analysis

Soft skills

leadershipmentoringcommunicationcoachingproject managementanalytical thinkingcollaborationproblem-solvingcuriosityinnovation