This position requires two in-office days per week for candidates who reside within 50 miles of Columbus, OH; Seattle, WA; Boston, MA; Portsmouth, NH; Indianapolis, IN; or Plano, TX. 

The USRM Data Office turns data into a competitive advantage. As a Data Product Owner, you'll lead product teams that power Distribution & Marketing—setting vision and roadmap, translating business needs into engineering work, and delivering measurable outcomes on our Snowflake platform. You’ll ensure new data products meet organizational needs through continuous innovation and cross-functional leadership, independently managing complex, high-impact initiatives.

What you’ll do: 

• Define and communicate the vision, strategy, and roadmap for Distribution & Marketing data products; align outcomes, KPIs, and success measures with stakeholders.
• Translate business needs into epics and user stories with clear acceptance criteria; maintain and prioritize the backlog.
• Lead one or more engineering squads through discovery, backlog grooming, and delivery with a strong definition of done in a matrixed environment.
• Partner across stakeholders in business, data engineering, architecture, security, reporting and analytics to drive alignment, build AI-ready data products for scale; evaluate build vs. buy and guide POCs.
• Embed data governance, security, AI readiness and compliance controls into product design and delivery.
• Communicate status, risks, and trade-offs to business and technical stakeholders in plain language; make timely decisions to keep delivery on track.
• Monitor product KPIs and operational health; reduce incidents and improve development cycle time through continuous improvement.

 Ideal candidate will have:

• 5+ years (ideally 5–7+) in data product ownership, data analytics, data engineering, or a related role, including hands-on experience with data warehousing, ELT/ETL, and software design principles.
• Demonstrated product ownership: roadmap development, prioritization, acceptance criteria, stakeholder management, and Agile delivery.
• Experience influencing and aligning stakeholders in large, matrixed organizations; able to communicate recommendations to senior leaders and simplify technical topics for business and engineering audiences.
• Strong problem-solving skills: decompose ambiguous problems, form hypotheses, run tests, and make data-driven decisions.
• Proficiency in SQL and familiarity with data marts, data models and pipelines; Snowflake experience strongly preferred.
• BI tools (e.g., Power BI, SAS); Python or other scripting experience is a plus.
• Working knowledge of AI concepts and the data foundations they depend on, with the ability to evaluate AI-driven opportunities and partner effectively with analysts and data science teams.
• Knowledge of cloud data platforms and data governance, privacy, and security best practices.
• Domain experience in Distribution & Marketing preferred.

Responsibilities:

• Manages complex projects and recommends and implements new or enhanced data products to better meet stakeholder or customer needs by leading the development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution.
• Grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case.
• Create roadmaps for product delivery, innovate, and create new product ideas.
• Prioritize efforts based on business value.
• Communicate to a senior audience how technical designs meet business needs, and shows a command of industry trends and business processes.
• Break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers.
• Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof of concepts/proof of technology are viable and scalable by partnering with IT.

• Strong written and oral communication skills required
• Experience in communicating recommendations to senior business leaders preferred
• BA/BS, or relevant work experience, in Computer Science or related field preferred
• MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
• 5-7+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology