Director, Data Product Owner & Data Modeling

Blackrock

Confirmed live yesterday Trusted
Hybrid

Quick summary

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

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 and finance. 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 individual will design and maintain end-to-end data models, manage the full lifecycle of data assets, and serve as the primary interface between stakeholders and engineering teams to translate business needs into technical requirements. Key responsibilities include managing data quality, lineage, and metadata standards while leveraging AI for scalability. Required expertise includes experience in large matrixed environments, data modeling, and roadmap prioritization. Preferred skills include familiarity with Snowflake, BI tools, and asset management within global financial institutions.

What you'll do

  • Define and manage the vision, roadmap, and backlog for corporate data products.
  • Transition the organization from project-based data delivery to standardized, governed, and reusable data products.
  • Design and maintain end-to-end data models while ensuring quality, lineage, and governance routines.
  • Translate complex business needs into clear technical requirements 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 executable 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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