SUMMARY

Ready for a new challenge? Join Guidewire as a Data Engineering Manager! We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market. This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry.

QUALIFICATIONS

• Bachelors or Masters degree or equivalent industry experience
• Passion for solving complex data problems
• 7-10+ years of relevant experience, including leadership of other data engineers
• Advanced, hands on experience building predictive modeling datasets and features
• Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning
• Demonstrated experience working with Guidewire ClaimCenter and/or PolicyCenter data
• Expert data profiling and analysis skills including statistical analysis
• Extensive experience building ETL and ML data pipelines
• In-depth knowledge of Python and PySpark
• 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
• 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 carry out projects and mentor a team with minimal direction
• Self-motivated and detail-oriented with desire to solve problems
  The US base salary range for this full-time position is $161,000 - $284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

• Lead a small team of 5-7 data engineers to drive multiple simultaneous projects with a focus on data preparation and pipeline development for predictive modeling. 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
• Interface with larger Guidewire engineering team to align technologies, standards, and manage dependencies across teams
• 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