Director, Data Product Owner & Data Modeling

Blackrock

Confirmed live 2 days ago Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$215,000–$275,000 / yr
Posted
93 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $238k
This role $245k
$173k most similar roles pay here $298k

This role pays more than 55% of similar roles. Most pay $202,662–$273,743 — the shaded band above. At the midpoint, this role pays about $245k versus about $238k 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 81 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 77 roles with salary data.

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At a glance

TL;DR · Director, Data Product Owner & Data Modeling

Director, Data Product Owner & Data Modeling (HR / Finance / Client Domains) joins the Cross-Functional Technology team to lead the strategic direction for data products serving corporate functions like HR, finance, and client books of business. This role is responsible for owning the product vision, roadmap, and operating model while transitioning the organization from bespoke, project-based delivery toward standardized, governed, and reusable data products. The successful candidate will design and maintain end-to-end data models, manage the full lifecycle of data assets, and translate complex business needs into technical requirements for engineering teams. Key responsibilities include driving data quality, lineage, and governance while leveraging AI to enhance scalability and consistency. Required expertise includes experience with enterprise-grade data modeling, prioritization frameworks, and potentially modern cloud platforms like Snowflake, BI tools, and metadata catalog solutions within a large, matrixed environment.

What you'll do

  • Define and manage the product vision, roadmap, and backlog for corporate data products.
  • Transition the organization from bespoke, project-based delivery to standardized, governed, and reusable data products.
  • Design and maintain end-to-end data models while ensuring quality, lineage, and governance routines.
  • Translate business needs into clear technical requirements, data definitions, and implementation plans for engineering teams.
  • Manage the full data product lifecycle to support AI use cases and regulatory requirements.
  • Partner with engineering teams to implement data pipelines, transformations, and distribution mechanisms.
  • Drive the adoption of enterprise data platforms, metadata standards, and access controls.

What we're looking for

  • Strong understanding of specific data domains such as HR, finance, or client books of business.
  • Proven track record of defining data product strategy, roadmaps, and prioritization frameworks.
  • 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 translate complex business needs into structured plans.
  • Experience leveraging AI to enable scalability, automation, and workflow standardization while maintaining data integrity.
  • Preferred experience in asset management, investment management, or a complex global financial institution.
  • Familiarity with modern cloud data platforms, BI tools, metadata solutions, and data quality tooling.

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