Data Product Owner

U.S. Bank•Boston, MA
•$133,365 - $156,900•Hybrid

About The Position

U.S. Bank is seeking an experienced Data Product Owner to drive the strategy, roadmap, prioritization, and delivery of data products within the Investment Services Data Domain. The role is the primary liaison among business stakeholders, governance partners, and technology teams, translating business needs into scalable, governed, and reusable data products for reporting, analytics, operational decision-making, and AI-enabled use cases. The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement. The role is primarily focused on product ownership and stakeholder engagement, and may also contribute to designing, prototyping, and developing foundational “gold” data products to accelerate delivery, support modernization, and promote organizational consistency. The position offers a hybrid/flexible schedule, with an expectation to work in the office three or more days per week and flexibility to work outside the office for the remaining days.

Requirements

  • Bachelor’s degree or equivalent work experience.
  • Typically eight or more years of experience in data, analytics, product management, business analysis, technology delivery, or related disciplines.
  • Experience defining business requirements, user stories, product roadmaps, and prioritization frameworks.
  • Experience working across business and technology organizations to deliver data, analytics, or technology solutions.
  • Demonstrated ability to lead initiatives involving multiple stakeholders, competing priorities, and complex business requirements.
  • Strong communication, facilitation, stakeholder management, and problem-solving skills.
  • Experience managing data products, analytics products, business intelligence solutions, or enterprise data initiatives.
  • Strong understanding of data warehousing, data engineering, data modeling, reporting, analytics, and modern cloud data architectures.
  • Knowledge of data governance, data quality, metadata management, lineage, stewardship, and data-as-a-product principles.
  • Experience defining product KPIs, adoption metrics, service levels, and business value realization measures.
  • Experience operating in Agile product delivery environments and managing product backlogs.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.
  • Experience supporting modernization initiatives, including migration of data assets from on-premises to cloud environments.

Nice To Haves

  • Experience supporting Investment Services, Fund Services, Custody, Fund Accounting, Transfer Agency, or other financial services organizations.
  • Experience with technologies such as Snowflake, Databricks, Azure, SQL Server, Postgres, or similar data platforms.

Responsibilities

  • Develop and maintain product vision, strategy, roadmaps, and priorities for assigned data products, aligned with business objectives and enterprise data strategy.
  • Partner with business stakeholders to identify opportunities, gather requirements, and translate needs into user stories, acceptance criteria, and prioritized backlogs.
  • Lead intake, prioritization, and roadmap discussions, balancing business value, strategic objectives, technical dependencies, risk, and delivery capacity.
  • Collaborate with data engineering, architecture, analytics, and governance teams to design and deliver trusted, scalable, reusable data products for reporting, analytics, operational processes, and AI-enabled solutions.
  • Champion data-as-a-product principles, including product ownership, discoverability, documentation, governance, data quality, metadata, lineage, and lifecycle management.
  • Drive adoption and continuous improvement through stakeholder engagement, product performance monitoring, user feedback, and measurement of business outcomes.
  • Support the development and evolution of governed “gold” data products that improve consistency, traceability, scalability, and reuse.
  • Identify opportunities to simplify, standardize, modernize, and consolidate data assets and reporting solutions, including supporting cloud migration and enterprise data initiatives.
  • Contribute to product design, prototyping, data analysis, or development activities when appropriate to accelerate delivery and establish foundational data capabilities.

Benefits

  • Healthcare coverage, including medical, dental, and vision.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability insurance.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation, from two to five weeks depending on salary grade and tenure.
  • Up to 11 paid holiday opportunities.
  • Adoption assistance.
  • Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
  • Incentive and recognition programs, equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.
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