> Markdown version of [/jobs/ext/2430729-director-data-product-owner-data-modeling-hr-finance-client-domains](https://www.wearedevelopers.com/jobs/ext/2430729-director-data-product-owner-data-modeling-hr-finance-client-domains). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Product Owner & Data Modeling (HR / Finance / Client Domains) - **Company:** Blackrock, Inc. - **Location:** Princeton, NJ, United States (Remote available) - **Salary:** $215,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Metadata, Enterprise Data Management, Snowflake, Data Management, Data Delivery - **Published:** August 1, 2026 - **Apply:** https://dejobs.org/x/x/BAB6CF85E3DE418DAAE241FDA0A46B7E/job/ ## About the Role * Strong understanding of a given data domain (e.g., HR, finance or client book of business) * Proven track record of defining data product strategy, roadmaps and prioritization frameworks and designing enterprise-grade data models with governance routines for quality, lineage, metadata and ownership * Demonstrated ability to deliver outcomes in large, matrixed enterprise environments * Strong communication skills, including the ability to engage senior stakeholders , drive alignment across functions and translate complex, competing business needs into structured, executable product plans * Experience leveraging AI to enable scalability and consistency, including automation, workflow standardization and improved knowledge sharing while maintaining ownership, governance and reliability of outcomes Nice-to-Have Experience * Experience in asset management, investment management or a complex global financial institution * Familiarity with modern cloud data platforms (e.g., Snowflake), BI tools, metadata/catalog solutions and data quality tooling * Experience leading an organization's transition from report-centric delivery to product-oriented data delivery ## Description The Data Product Owner reports to the Head of CFT Data and partners with senior stakeholders , CFT Platform engineering and enterprise data leadership . Da ta Product Owners lead the strategic direction for the data products serving BlackRock's corporate function s ., * Own the data product strategy, roadmap and backlog ; r ationalize fragmented reporting and data demand into a coherent portfolio * Define and manage the full data product lifecycle , e stablish ing reusable, governed assets that support workflows, AI use cases and regulatory needs * Design and maintain the end-to-end data model ; drive data quality, lineage, ownership and governance routines * Serve as the primary product interface between data stakeholders and technology teams, t ranslat ing business needs into clear product requirements, data definitions and implementation plans * Partner with CFT Platform and data engineering teams to implement pipelines, transformations, access patterns and distribution mechanisms * Collaborate with CFT teams supporting Finance, HR , Legal & Compliance and Audit to promote consistent data product practices and cross-functional reuse * Support adoption of enterprise data platforms, metadata/catalog standards and access controls ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)