Senior Data Product Owner

PositionPurpose:TheSr.Data Product Ownerwillberesponsible fordefining, prioritizing, and delivering data products that enable the business to make informed, data 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 products—from ideation through adoption—ensuring 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, and decision-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 using data 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 ensuretimelyand high-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

• Bachelor’s orMaster’s degree in BusinessAdministration, Data Analytics, Information Systems,Information Technology,Computer Science, or related field, or equivalent experience.

• 5–8years 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, Lucid,Conflunce, 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-solving,critical, 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