Senior Data Product Owner

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Position Purpose: The Sr. Data Product Owner will be responsible for defining, prioritizing, and delivering data products that enable the business to make informed, data driven decisions. This role bridges business strategy, analytics, and technology by aligning stakeholder needs with scalable data solutions. The Sr. Data Product Owner will own the vision, roadmap, and lifecycle of data products—from ideation through adoption—ensuring they deliver measurable value and meet business objectives across Retirement Operations. 

Key Responsibilities: 

Product Strategy & Vision 

• Develop and communicate a clear vision, strategy, and roadmap for data products aligned to business goals. 

• Identify opportunities to improve processes, analytics, and decision-making through new or enhanced data products. 

• Partner closely with business stakeholders to understand their needs, pain points, and priorities. 

Backlog & Requirements Management 

• Translate business needs into detailed product requirements, user stories, and acceptance criteria. 

• Prioritize the product backlog using data driven rationale, balancing business impact, technical feasibility, and risk. 

• Ensure transparency and clarity of requirements for engineering, analytics, and data governance teams. 

Delivery & Execution 

• Work closely with data engineering, analytics, and technical teams to ensure timely and high-quality delivery of features. 

• Participate in Agile ceremonies (standups, grooming, sprint planning, retrospectives). 

• Conduct user acceptance testing and validate that delivered features meet intended outcomes. 

Data Quality, Governance & Compliance 

• Champion high data quality, operational excellence, and strong data governance practices. 

• Ensure data products comply with regulatory requirements, security standards, and privacy policies. 

• Collaborate with data governance teams to define and maintain metadata, data definitions, and lineage. 

Stakeholder Engagement & Adoption 

• Act as the primary point of contact for data product stakeholders. 

• Drive user adoption through training, documentation, and communication plans. 

• Gather and analyze user feedback to inform continuous improvement. 

Metrics & Value Realization 

• Define success metrics and KPIs for data products. 

• Track performance, measure ROI, and report on value delivered. 

• Use insig