Senior Data Product Owner

PositionPurpose:TheSr.Data Product Ownerwillberesponsible fordefining prioritizing and delivering data products that enable the business to make informeddata drivendecisions. This role bridges business strategy analytics and technology by aligning stakeholder needs with scalable data solutions. TheSr.Data Product Ownerwillown the vision roadmap and lifecycle of data productsfrom ideation through adoptionensuring they deliver measurable value and meet businessobjectivesacross Retirement Operations.

Key Responsibilities:

Product Strategy & Vision

• Develop and communicatea clear vision strategy and roadmap for data products aligned to business goals.

• Identifyopportunities to improve processes analytics anddecision-makingthrough 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 usingdata drivenrationale 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 ensuretimelyandhigh-qualitydelivery of features.

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

• Conduct user acceptance testing andvalidatethat delivered features meet intended outcomes.

Data Quality Governance & Compliance

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

• Ensure data productscomply withregulatory requirements security standards and privacy policies.

• Collaborate with data governance teams to define andmaintainmetadata 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 insights to guide enhancements and future roadmap decisions.

Skills &Qualifications:

Education & Experience

• Bachelors orMasters degree in BusinessAdministration Data Analytics Information SystemsInformation TechnologyComputer Science or related field or equivalent experience.

• 58years of experience indataproduct ownership data analytics data management business intelligence or similar roles.

• Experience working in Agiledelivery framework

• Familiarity with Agile Data Engineering best practices including Scrum and Kanban methodologies as well as Agile project delivery tools sucha Jira Rally Mural Miro LucidConflunce etc.

Technical Skills

• Strong understanding ofenterprisedata architecture data modeling and ETL/ELT processes.

• Experiencewith analytics and BI tools (e.g. Power BI Tableau Looker).

• Knowledge of cloud data platforms (e.g. Azure AWS Snowflake GCP) is a plus.

Competencies

• Excellent problem-solvingcritical and analyticalthinking skills.

• Strong presentation and communications skill both written and oral

• Data storytelling and visualization

• Ability to translate technical concepts into business language.

• Proven ability to influence without authority and navigate cross-functional teams.

• Detail-oriented with strong organizational skills.

• Proficiencyin SQL and working with relational databases

• Experience with data visualization tools (e.g. Power BI Alteryx or Tableau)

• Strong Microsoft Excel skills (pivot tables advanced formulas data modeling macros)

• Ability to translate data insights into clear actionable business recommendations

Preferred

• Background in financial services

• Direct experience in the 401(k) retirement plan or broader benefits industry

• Familiarity with recordkeeping systems payroll data plan conversions and plan design concepts

• Experience supporting ADP/ACP nondiscrimination testing or compliance analytics

• Knowledge of ERISA IRS limits contribution rules and DOL data requirements

• Experience with REST SOAP or .NETAPI calls