Data Product Owner

We need to output HTML fragment with sections: About the role? The posting includes intro paragraph about U.S. Bank mission, then "Job Description" heading. We should not repeat job title as heading. We need sections for headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use

for each section heading only if content exists. We must preserve all substantive info, remove boilerplate (EEO, legal, accommodation, etc). Also remove application instructions, duplicated lines. We need to extract: - Intro about U.S. Bank mission: "At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One." That could be "About the role" or maybe "About the role" is generic; but we can put that under

About the role

with

. - Job Description paragraph: "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. This role serves as the primary liaison between business stakeholders, governance partners, and technology teams, translating business needs into scalable, governed, and reusable data products that support 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. While primarily focused on product ownership and stakeholder engagement, this role may also contribute to the design, prototyping, and development of foundational "gold" data products to accelerate delivery, support modernization efforts, and promote consistency across the organization." That could be part of Responsibilities? Actually responsibilities list follows. - Essential Functions list: bullet points (starting with "Develop and maintain product vision..." etc). Those are responsibilities/duties. So we can put under

Responsibilities

with

• each bullet. - Basic Qualifications: "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." That's qualifications. - Preferred Skills & Experience: a long list. That could be Skills section. - Benefits: list of benefits. - Pay Range: "$133,365.00 - $156,900.00" - Schedule: "The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days." We need to ensure we don't include boilerplate like EEO, disability accommodation, E-Verify, etc. Also remove "If there’s anything we can do to accommodate a disability..." etc. Also remove "Review our full benefits available by employment status here." maybe keep benefits list but not the link. We must not invent or summarize away detail. Keep all substantive info. We need to output only HTML fragment, no markdown fences. Let's structure:

  About the role

  At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

  Job Description

  maybe not needed because we have Responsibilities. But we could keep a short paragraph as part of About the role? The instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but we should prefer those. The "Job Description" could be considered part of About the role or Responsibilities. Safer to merge the descriptive paragraph into About the role or Responsibilities. I'll put it under About the role after the mission paragraph. Thus About the role will have two paragraphs: mission and job description. Then Responsibilities list. Then Qualifications (maybe Basic Qualifications). Could be

  Qualifications

  with

  for basic qualifications. Then Skills (Preferred Skills & Experience) as

  Skills

  with
  • . Then Benefits as

    Benefits

    with
    • . Then Pay as

      Pay

      with

      containing range. Then Schedule as

      Schedule

      with

      . We must not include headings with filler. All have content. Now extract details precisely. Let's copy the Essential Functions bullet points exactly as in text, preserving punctuation. Essential Functions list: - Develop and maintain product vision, strategy, roadmaps, and priorities for assigned data products, ensuring alignment with business objectives and enterprise data strategy. - Partner with business stakeholders to identify opportunities, gather requirements, and translate business needs into user stories, acceptance criteria, and prioritized backlogs. - Lead intake, prioritization, and roadmap discussions, balancing business value, strategic objectives, technical dependencies, risk considerations, and available delivery capacity. - Collaborate with data engineering, architecture, analytics, and governance teams to design and deliver trusted, scalable, and reusable data products that support 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 across business and technology teams. - Identify opportunities to simplify, standardize, modernize, and consolidate data assets and reporting solutions, including support for 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. Make sure to keep quotes around "gold". The text includes double quotes around gold. We'll keep as is. Now Basic Qualifications: "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." We can combine into one paragraph. Preferred Skills & Experience list: - Experience supporting Investment Services, Fund Services, Custody, Fund Accounting, Transfer Agency, or other financial services organizations preferred. - 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. - Experience with technologies such as Snowflake, Databricks, Azure, SQL Server, Postgres, or similar data platforms. - 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 within Agile product delivery environments and managing product backlogs. - Ability to communicate complex technical concepts to both technical and non-technical audiences. - Experience supporting modernization initiatives, including migration of data assets from on-premises to cloud environments. We'll keep each as

    • . Benefits list: - Healthcare (medical, dental, vision) - Basic term and optional term life insurance - Short-term and long-term disability - 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 worked, up to 80 hours per calendar year unless otherwise provided by law We should not include the sentence "Review our full benefits available by employment status here." That's boilerplate/link. Pay: "Pay Range: $133,365.00 - $156,900.00" Schedule: "The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days." Now ensure we removed all boilerplate: EEO, disability accommodation, E-Verify, background check details, etc. Also remove "U.S. Bank is an equal opportunity employer..." etc. Also remove "The salary range reflects figures based on the primary location..." etc. Also remove "U.S. Bank will consider qualified applicants with arrest or conviction records..." etc. Also remove "Posting may be closed earlier due to high volume of applicants." etc. Now produce HTML. We'll wrap sections in appropriate tags. Let's craft:

      About the role

      At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

      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. This role serves as the primary liaison between business stakeholders, governance partners, and technology teams, translating business needs into scalable, governed, and reusable data products that support 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. While primarily focused on product ownership and stakeholder engagement, this role may also contribute to the design, prototyping, and development of foundational "gold" data products to accelerate delivery, support modernization efforts, and promote consistency across the organization.

      Responsibilities

      • Develop and maintain product vision, strategy, roadmaps, and priorities for assigned data products, ensuring alignment with business objectives and enterprise data strategy.
      • Partner with business stakeholders to identify opportunities, gather requirements, and translate business needs into user stories, acceptance criteria, and prioritized backlogs.
      • Lead intake, prioritization, and roadmap discussions, balancing business value, strategic objectives, technical dependencies, risk considerations, and available delivery capacity.
      • Collaborate with data engineering, architecture, analytics, and governance teams to design and deliver trusted, scalable, and reusable data products that support 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