Description
BlackRock's Cross-Functional Technology (XFT) team brings together people, process, data, and technology to establish scalable, artificial intelligence (AI)-enabled platforms and the technology foundation supporting the firm's long-term growth strategy.
As a Data Product Owner, you will own a portfolio of data products supporting BlackRock's corporate functions, guiding products from discovery and definition through delivery, adoption, and ongoing evolution.
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 decisions, dependencies, prioritization, and execution through completion.
- Lead product discovery and requirements analysis, evaluating 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 and master data, and reusable data structures.
- Partner closely with data engineering, platform, business intelligence (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.
Requirements
- 8+ years of relevant experience in enterprise data, data products, product management, data architecture and modeling, data governance or stewardship, or related disciplines.
- Demonstrated experience owning or leading data products across the product lifecycle, including discovery, roadmaps, backlogs, prioritization, planning, delivery, adoption, and metrics.
- Strong understanding of enterprise data concepts and modeling, including data definitions, quality, lineage, metadata, ownership, governance, semantic and domain modeling, master and reference data, normalized and dimensional models, and modeling standards.
- Hands-on data modeling experience, 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, with experience in corporate data domains such as finance, treasury, tax, human resources (HR), client and revenue, legal and compliance, regulatory reporting, procurement, or enterprise master and reference data.
- Experience with enterprise business applications such as Oracle Financials, SAP, IBM Planning Analytics, Salesforce, Workday, Microsoft Dynamics, or Coupa, along with familiarity with cloud data platforms, BI and analytics platforms, metadata and catalog solutions, and data-quality tooling.
- Experience in asset management, financial services, or a similar industry.
Salary Information
- For New York, NY: USD$162,500.00 - USD$215,000.00
- For PR2-Princeton - 1 University Square Drive: USD$140,000.00 - USD$195,000.00
Benefits
- Annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- Tuition reimbursement
- Flexible Time Off (FTO)