Responsibilities:
- Manage team of data engineers working on multiple simultaneous projects with a focus on data preparation and pipeline development for predictive modeling and GenAI. Includes:
- Data interrogation, exploratory data analysis, profiling, and reconciliation
- Data pipeline creation, revision and monitoring based on product manager and data scientist/actuarial input
- Feature creation, initial testing, and ongoing management
- Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project status
- Create and manage data assets, datasets, features, and code with a focus on simplicity, scalability, reusability, and clear documentation
- Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development
Qualifications:
- Bachelors or Masters degree or equivalent industry experience
- Passion for solving complex data engineering problems
- 10+ years of relevant data engineering experience
- 3-5 years of relevant management experience
- Advanced, hands on experience building modeling datasets and features for predictive modeling
- Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning
- Expert data profiling and analysis skills including statistical analysis
- Extensive experience building ML data pipelines and working with feature stores
- In-depth knowledge of Python
- Deep experience with AWS data capabilities like Airflow, Glue, Redshift, EMR
- Experience with developing and automating data quality monitoring
- Experience with US/Canadian P&C standard lines of business
- Experience with P&C policy administration and claims processing concepts
- Demonstrated experience working with Guidewire ClaimCenter and/or PolicyCenter data
- Exposure to and understanding of NLP and other ML techniques
- Experience with AWS Sagemaker and Feature Store a bonus
- Experience and skill in communicating insights derived from data to both technical and non-technical personnel
- Ability to plan and carry out projects with minimal direction
- Self-motivated and detail-oriented with desire to solve problems
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