Lead Data Engineer, Imagery Models

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.

Technology

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 - $266,300.00

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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Lead Data Engineer you will work with business partners to modernize design standards and development practices to grow and transform our analytics landscape. Your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data will support Artificial Intelligence, Machine Learning and business intelligence/insights.
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 complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
• Define and build frameworks for data solutions that can be applied to multiple projects.
• Perform analysis of complex sources to determine value and utilize your subject matter expertise to recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate and build consensus with leadership and diverse groups of stakeholders in defining, estimating, prioritizing and planning of projects.
• Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
• Define standards and frameworks for testing on data movement and transformation code and data components.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent.
• Fifteen years of related experience.
• 4+ years of experience with AWS Cloud and Python.
• 3+ years of experience with Databricks.
• 2+ years of experience in imagery pipeline development and reusable frameworks.
• Experience integrating imagery workflows into production systems and API's.
• Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.  
• Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
• Excellent delivery skills with the ability to examine and assess the effectiveness of software design strategies and methodologies, devise, apply, and share ways to ensure the quality of complex computer systems, incorporate awareness and understanding of work happening outside of the team, and develop widely used technical metrics that enable engineers to better understand and deliver their work.
• Demonstrated track record of domain expertise including the ability to improve company level capabilities within domain, consult on business priorities and optimize value by identifying business aligned solutions and thoughtfully and practically introduce concepts and technologies from the industry.
• Strong problem solving skills with the ability to create architecture that is particularly robust against single points of failure, both in terms of systems and people, and looks ahead 6-12 months to identify areas of need and turns this into action.
• Excellent communication skills with the ability to describe technology concepts in ways the business can understand, document effectively, collaborate across disparate groups, and model and assist others in the practice of mindful communication, active listening, and messaging.
• Strong leadership skills with the ability to engage with other leaders and networks to solve problems as well as work to improve the entire engineering organization by teaching others and sharing knowledge while creating opportunities for others to showcase and develop skills.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 7 additional years of data engineering experience.
• 2 years of technical leadership experience.