Vice President, Data Product Owner
Vice President, Data Product Owner
About This Role
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.
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