Data Product Owner

Expion Health•,

21h•Remote

About The Position

Expion Health is seeking a Data Product Owner to manage the backlog, roadmap, and delivery of data products, including pipelines, datasets, dashboards, and reports. This role requires a blend of business acumen and technical execution, focusing on ensuring data trustworthiness and quality. The Data Product Owner will translate business needs into user stories, prioritize the backlog, and collaborate with data engineering, analytics, and business stakeholders to deliver valuable, well-governed data products. A key aspect of this role is advocating for data quality, lineage, and governance throughout the product lifecycle.

Requirements

Bachelor's degree in Computer Science, Data or Information Systems, Statistics, or a related field, or equivalent practical experience.
3+ years as a Product Owner, Product Manager, or Business Analyst working with data products, pipelines, or analytics platforms.
A track record of writing clear user stories, acceptance criteria, and source-to-target mapping requirements.
Working knowledge of Agile/Scrum methodologies, including backlog grooming, sprint planning, and standups.
Proficiency in SQL and a strong understanding of data modeling, ETL/ELT concepts, and data warehousing principles.
A solid grasp of data governance, data quality, lineage, and privacy and compliance requirements.
Excellent written and verbal communication skills, with a talent for making technical data concepts clear and actionable for any audience.
Proven ability to manage competing priorities and deliver on deadlines.

Nice To Haves

Hands-on experience with modern data platforms and tools such as Snowflake, Databricks, or dbt.
Experience with BI and reporting tools such as Tableau or Power BI.
Familiarity with healthcare, pharmacy, or pharmacy economics data and workflows.
Experience with product and backlog tools such as Jira, Azure DevOps, or Aha!.
Background in data governance frameworks, data cataloging, or master data management.
Exposure to APIs, cloud data platforms, or data integration and orchestration tools such as Airflow or Fivetran.

Responsibilities

Own the backlog, prioritizing and managing it for data products (pipelines, datasets, data models, integrations, analytics and reporting solutions) against a roadmap aligned to business goals, governance requirements, and technical capabilities.
Translate business and analytical needs into clear user stories, acceptance criteria, and source-to-target mapping requirements for data engineering and analytics teams.
Champion data quality, ensuring all data products meet defined quality, governance, lineage, and privacy standards.
Partner with data engineering to design and validate data models, ETL/ELT pipelines, and integration workflows.
Facilitate discussions on data architecture and data quality, translating technical concepts for non-technical stakeholders.
Lead Agile ceremonies including backlog grooming, sprint planning, and daily standups, ensuring clear and testable acceptance criteria.
Conduct reviews and demos of data products, validate outputs against acceptance criteria, and coordinate releases.
Define and track success metrics such as data quality scores, pipeline reliability, and report adoption.
Maintain documentation of lineage, definitions, and source-to-target mappings for governance and audit purposes.