Director, Data Product Owner & Data Modeling (HR / Finance / Client Domains)

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$215,000–$275,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $245k
$148k most similar roles pay here $289k

This role pays more than 79% of similar roles. Most pay $162,000–$238,887 — the shaded band above. At the midpoint, this role pays about $245k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 105 open roles on FindRole.

Listed pay typically runs $148,000–$200,000 across 103 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Director, Data Product Owner & Data Modeling (HR / Finance / Client Domains)

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The Director of Data Product Owner at BlackRock’s Cross-Functional Technology team leads the strategic direction for data products serving corporate functions such as HR, finance, and client book of business. This role involves owning the product vision, roadmap, and backlog while rationalizing fragmented reporting into a coherent portfolio. The director designs and maintains end-to-end data models, establishes reusable governed assets, and ensures data quality and governance routines. They serve as the primary interface between stakeholders and technology teams, translating business needs into clear requirements and implementation plans. Key responsibilities include collaborating with various CFT teams to promote consistent practices and supporting adoption of enterprise platforms and standards. The ideal candidate has a strong understanding of a specific data domain, proven experience in defining data product strategies, and delivering outcomes in large matrixed environments. They should also have expertise in leveraging AI for scalability and consistency while maintaining governance and reliability. Familiarity with modern cloud data platforms and metadata solutions is beneficial.

Skills

Snowflake Python SQL Data Governance CI/CD Metadata Management Data Quality Tools BI Tools Cloud Data Platforms Kafka Hadoop Docker AWS Azure Git JIRA Confluence Scrum Agile Methodologies

What you'll do

  • Own the data product strategy and roadmap for specific corporate functions.
  • Design and maintain end-to-end data models with governance routines.
  • Define clear product requirements translating business needs into technical specifications.
  • Partner with technology teams to implement data pipelines and access patterns.
  • Support adoption of enterprise data platforms and metadata standards across functions.

What we're looking for

  • Proven track record of defining data product strategy, roadmaps, and prioritization frameworks.
  • Strong understanding of a specific data domain (e.g., HR, finance).
  • Experience 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 to engage senior stakeholders and drive alignment across functions.
  • Experience leveraging AI to enable scalability and consistency while maintaining governance and reliability of outcomes.

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