Data Engineer I (Product Owner)

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 160 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

Analytics & Research, Bus Intelligence & Management Information, 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

$106,300.00 - $175,400.00

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. Travelers is looking for a Data Engineer I to collaborate with the external data team as a Product Owner to ensure alignment with business objectives and priorities. This role will include analyzing/profiling data, determining the right source of truth, and working closely with the business. Additionally, as the technical product owner for the team, the role will contribute to the development and refinement of product features and requirements, and ensure seamless integration of external data solutions and internal reporting feeds. We are looking for a self-starter to drive business solutions in an Agile/Collaborative environment, actively engaging with cross-functional teams and external partners to deliver high-quality data solutions that meet the needs of our stakeholders.

What Will You Do?

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, 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
• Six years of related experience
• Define, prioritize and ensure a ready backlog of work for a smaller scale product team, accept final product output, focusing on achievement of defined outcomes versus defining how the work is completed.
• Effectively manage a backlog of deliverables and capabilities as well as 'test and learn'/experimentation targeted at defining/refining future deliverables, measuring performance and adjusting the overall roadmap of deliverables as needed.
• Understand and implement team goals and strategy, ensuring alignment with circle and value stream vision; Articulate team goals and strategy effectively to key stakeholders, Circle Leads and team members.
• Act as voice of the end-user; have a deep understanding of and respond to customer feedback ensuring needs and requirements are clearly defined; ensure team work product meets defined acceptance criteria.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Verify data movement, transformation code, and data components.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
• The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
• Demonstrated track