Lead Data Engineer, Imagery Models
TravelersAbout the role
Who Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$161,400.00 - $266,300.00Target Openings
What Is the Opportunity?
You will lead engineering efforts related to data solution design, building and optimizing data pipelines, and overseeing integration efforts to support imagery models. This role will coordinate across organizations and functional areas including Data Scientists, BI Tech Data Engineering, and Architecture to streamline processes, define data product strategy, standardize implementation patterns for imagery models.
As a data and technology subject matter expert you will influence strategy, support delivery, and translate complex data into user-friendly terminology to educate end users on data products and the analytic environment.
What Will You Do?
- Lead and partner with Data Science, DAVS, Architecture and other business, stakeholder teams to prioritize use cases, gather requirements and implement solutions and pipelines for Imagery Models.
- Contribute to the Data Products Strategy for Imagery Model Outputs.
- Design and own the end‑to‑end data and ML pipeline architecture for imagery models (ingestion, preprocessing, feature engineering, training, evaluation, deployment)
- Integrate models into production systems and APIs with appropriate monitoring and alerting.
- Incorporate assurance processes into data solutions.
- Guide team members as they build
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