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.
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 reconciliationData pipeline creation, revision and monitoring based on product manager and data scientist/actuarial inputFeature creation, initial testing, and ongoing managementWork collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project statusCreate 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 developmentQualifications:Bachelors or Masters degree or equivalent industry experiencePassion for solving complex data engineering problems10+ years of relevant data engineering experience3-5 years of relevant management experienceAdvanced, hands on experience building modeling datasets and features for predictive modelingExpert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuningExpert data profiling and analysis skills including statistical analysisExtensive experience building ML data pipelines and working with feature storesIn-depth knowledge of PythonDeep experience with AWS data capabilities like Airflow, Glue, Redshift, EMRExperience with developing and automating data quality monitoring Experience with US/Canadian P&C standard lines of businessExperience with P&C policy administration and claims processing conceptsDemonstrated experience working with Guidewire ClaimCenter and/or PolicyCenter dataExposure to and understanding of NLP and other ML techniques Experience with AWS Sagemaker and Feature Store a bonusExperience and skill in communicating insights derived from data to both technical and non-technical personnelAbility to plan and carry out projects with minimal directionSelf-motivated and detail-oriented with desire to solve problems#LI_Remote
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About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
