Job description

About this role Vice President, Data Product Owner BlackRock’s Cross-Functional Technology (XFT) team brings together BlackRock’s people, process, data and technology to establish scalable, AI-enabled platforms and the technology foundation underpinning the firm’s long-term growth strategy. XFT enables a unified, AI-first enterprise that simplifies decision-making and increases operational leverage. The Data Product Owner will own a portfolio of data products supporting BlackRock s corporate functions. Working closely with business stakeholders, data and platform engineering, analytics teams and enterprise data leadership, this individual will guide products from discovery and definition through delivery, adoption and ongoing evolution. About This Role The role combines hands-on product ownership with strong enterprise-data expertise. The successful candidate will translate complex business needs into reusable, governed data products; shape domain data models, semantic constructs, and enterprise definitions; and drive execution across stakeholder and technology teams. The Data Product Owner may direct the work of a small group of analysts and other contributors but should remain actively involved in product definition, analysis and delivery. Key Responsibilities Own assigned domain data products from discovery through roadmap, requirements, delivery, adoption, measurement and lifecycle management Represent products through Agile planning and delivery, driving drive decisions, dependencies, prioritization and execution to completion Lead product discovery and requirements analysis and evaluate business value, cost, dependencies and competing priorities to recommend appropriate sequencing and tradeoffs. Partner with business stakeholders to establish clear product outcomes, data definitions, service expectations and measures of success Design and evolve domain data models, including core business concepts, relationships, reference/master data and reusable data structures Partner closely with data engineering, platform, BI/reporting and architecture teams on pipelines, transformations, access patterns, entitlements, analytical consumption and distribution mechanisms Provide product direction and day-to-day leadership to small analyst teams Required Experience 8 years of relevant experience in enterprise data, data products, product management, data architecture/modeling, data governance/stewardship or related disciplines Demonstrated experience owning or leading data products across the product lifecycle Strong understanding of enterprise data concepts, including data definitions, data quality, lineage, metadata, ownership and governance Hands-on experience with relational/normalized and dimensional data modeling, including the ability to work effectively with business stakeholders, architects and engineers Demonstrated ability to operate independently and drive outcomes in a complex, matrixed enterprise environment Experience in one or more relevant corporate data domains such as finance, treasury, tax, HR, client/revenue, legal & compliance, regulatory reporting, procurement or enterprise master/reference data Nice-to-Have Experience Deep experience in data product practice, including implementation or evolution of product-development lifecycle processes, discovery, roadmap and backlog practices, prioritization, PI planning and metrics Expertise in enterprise data modeling, including semantic/domain modeling, canonical concepts, master/reference data, normalization, dimensional models and modeling standards Experience with Oracle Financials, SAP, TM1/Planning Analytics, Salesforce, Workday, Microsoft Dynamics or Coupa Familiarity with cloud data platforms, BI/analytics platforms, metadata/catalog solutions and data-quality tooling Experience in asset management, financial services or a similar industry For New York, NY Only the salary range for this position is USD$162,500.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. For Princeton, NJ Only the salary range for this position is USD$140,000.00 - USD$195,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Requirements

Must-haves

Vice President, Data Product Owner
The Data Product Owner may direct the work of a small group of analysts and other contributors but should remain actively involved in product definition, analysis and delivery.
Own assigned domain data products from discovery through roadmap, requirements, delivery, adoption, measurement and lifecycle management
Represent products through Agile planning and delivery, driving drive decisions, dependencies, prioritization and execution to completion
Lead product discovery and requirements analysis and evaluate business value, cost, dependencies and competing priorities to recommend appropriate sequencing and tradeoffs.
Partner with business stakeholders to establish clear product outcomes, data definitions, service expectations and measures of success
Design and evolve domain data models, including core business concepts, relationships, reference/master data and reusable data structures
Partner closely with data engineering, platform, BI/reporting and architecture teams on pipelines, transformations, access patterns, entitlements, analytical consumption and distribution mechanisms
Provide product direction and day-to-day leadership to small analyst teams
8 years of relevant experience in enterprise data, data products, product management, data architecture/modeling, data governance/stewardship or related disciplines
Demonstrated experience owning or leading data products across the product lifecycle
Strong understanding of enterprise data concepts, including data definitions, data quality, lineage, metadata, ownership and governance
Hands-on experience with relational/normalized and dimensional data modeling, including the ability to work effectively with business stakeholders, architects and engineers
Demonstrated ability to operate independently and drive outcomes in a complex, matrixed enterprise environment
Experience in one or more relevant corporate data domains such as finance, treasury, tax, HR, client/revenue, legal & compliance, regulatory reporting, procurement or enterprise master/reference data
Deep experience in data product practice, including implementation or evolution of product-development lifecycle processes, discovery, roadmap and backlog practices, prioritization, PI planning and metrics
Expertise in enterprise data modeling, including semantic/domain modeling, canonical concepts, master/reference data, normalization, dimensional models and modeling standards
Experience with Oracle Financials, SAP, TM1/Planning Analytics, Salesforce, Workday, Microsoft Dynamics or Coupa
Familiarity with cloud data platforms, BI/analytics platforms, metadata/catalog solutions and data-quality tooling
Experience in asset management, financial services or a similar industry

Nice-to-haves

Nice-to-Have Experience

Application prep

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Keywords to mirror

aiagile

Platform: workday
Effort: long