Technical Product Owner - Data Operations and Transformations (IT Analyst II or III)

Blue Cross of IdahoBozeman, MT
1d$78,064 - $144,275Hybrid

About The Position

The Technical Product Owner will play a key role in the enterprise data division, focused on the successful delivery of data products for a healthcare payor organization. Partners with engineering, data science, and business teams to define and prioritize the data product roadmap. This role requires an outstanding combination of business insight, deep technical knowledge of data systems, and a passion for using data to solve complex healthcare challenges. Key Responsibilities Work with product management and business partners to define the vision, strategy, and roadmap for enterprise data products. Translate business needs and user insights into a clearly defined, prioritized, and well-groomed product backlog. Write and refine detailed user stories with clear acceptance criteria for both functional and non-functional requirements. Prioritize backlog items based on business value, technical feasibility, and consistency with the overall product strategy. Stakeholder Collaboration: Serve as the main liaison between technical data teams and various business units, including analytics, operations, and clinical teams. Communicate the vision, technical capabilities, and release plans of the data solution to both technical and non-technical audiences. Conduct stakeholder interviews and user reviews to gather feedback and refine product features. Agile and Delivery Management: Actively participate in agile ceremonies, including sprint planning, stand-ups, and retrospectives. Ensure the development team is accountable for delivering committed features on time and that the technical solution meets the business goal. Data Governance and Compliance: Collaborate with data governance teams to ensure all data handling aligns with regulations such as HIPAA and other privacy and security policies. Monitor data quality and integrity and drive remediation where needed. Assist in the documentation of the enterprise data dictionary and data lineage. Technical Acuity: Cultivate a deep understanding of data systems, data architecture, and modern data processing frameworks (e.g., ETL/ELT, data lakes). Have experience with technical concepts and the ability to query backend data systems using SQL to validate user stories and test results. Track product performance and team metrics to evaluate progress toward goals and identify opportunities for improvement. Data Operations or Data Transformation Focus: Data Operations: Specifically manage data ingestion, extraction, and sharing products. Work closely with data engineers to define requirements for data pipelines, APIs, and data delivery mechanisms. Data Transformation: Focus on data modeling and transformation products. Partner with data engineers and data scientists to build robust data models and ensure data is accurately transformed for analytics, reporting, and other enterprise needs.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
  • 3-5/+ years of experience as a Product Owner, Business Analyst, or a related technical/data product role supporting technology teams, preferably in the healthcare payor industry.
  • Deep/broad knowledge in Health insurance data needs, workflows and processes is highly desired and preferred over technical experience.
  • Demonstrated expertise in working with enterprise data platforms, data warehouses, and data lakes.
  • Proven experience working in an agile environment, preferably with a data-focused team; experience with agile tools such as Jira or AWS DevOps.
  • Solid understanding of healthcare data, including industry-standard data formats and regulatory requirements (e.g., HIPAA, FHIR).
  • Excellent communication, analytical, and problem-solving skills.
  • Knowledge of SQL

Responsibilities

  • Work with product management and business partners to define the vision, strategy, and roadmap for enterprise data products.
  • Translate business needs and user insights into a clearly defined, prioritized, and well-groomed product backlog.
  • Write and refine detailed user stories with clear acceptance criteria for both functional and non-functional requirements.
  • Prioritize backlog items based on business value, technical feasibility, and consistency with the overall product strategy.
  • Serve as the main liaison between technical data teams and various business units, including analytics, operations, and clinical teams.
  • Communicate the vision, technical capabilities, and release plans of the data solution to both technical and non-technical audiences.
  • Conduct stakeholder interviews and user reviews to gather feedback and refine product features.
  • Actively participate in agile ceremonies, including sprint planning, stand-ups, and retrospectives.
  • Ensure the development team is accountable for delivering committed features on time and that the technical solution meets the business goal.
  • Collaborate with data governance teams to ensure all data handling aligns with regulations such as HIPAA and other privacy and security policies.
  • Monitor data quality and integrity and drive remediation where needed.
  • Assist in the documentation of the enterprise data dictionary and data lineage.
  • Cultivate a deep understanding of data systems, data architecture, and modern data processing frameworks (e.g., ETL/ELT, data lakes).
  • Have experience with technical concepts and the ability to query backend data systems using SQL to validate user stories and test results.
  • Track product performance and team metrics to evaluate progress toward goals and identify opportunities for improvement.
  • Specifically manage data ingestion, extraction, and sharing products.
  • Work closely with data engineers to define requirements for data pipelines, APIs, and data delivery mechanisms.
  • Focus on data modeling and transformation products.
  • Partner with data engineers and data scientists to build robust data models and ensure data is accurately transformed for analytics, reporting, and other enterprise needs.

Benefits

  • We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.
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