Data Operations, Vice President/Principal

Blue Owl Capital Holdings•New York City, NY

10h•Onsite

About The Position

Blue Owl is hiring a Data Operations, Vice President/Principal that will be team and is responsible for designing, building, and scaling data and technology solutions that support reporting, performance measurement, and decision-making across the Blue Owl platform. The role partners closely with engineering and business stakeholders to decompose complex systems, integrate disparate data sources, and deliver production-grade data pipelines from ingestion through output. With a strong blend of technical depth and business acumen, this role translates financial and operational logic into scalable, automated solutions and supports key investment and fund performance reporting.

Requirements

6+ years of relevant experience; specific asset management background not required
Hands-on fluency with data - SQL, Python, or equivalent; familiarity with modern architectures and technologies
A track record of building and improving technical and complex systems, both as a manager and as a builder
Experience building or managing data pipelines end to end in production environments
Experience in fintech or payments, combining strong financial logic with complex with technical plumbing
Background in data engineering, with a pipeline-first mindset, strong systems decomposition skills, and production-grade discipline
Exposure to supply chain or logistics environments, designing and operating multi-party systems at scale
Experience in defense tech, modernizing legacy systems within compliance-heavy environments
Comfort operating in domains you do not initially understand and a willingness to learn
Enthusiasm for financial markets

Responsibilities

Work directly within the Operations team to execute key data and technology initiatives impacting across the Blue Owl platform
Integrate discrete systems and functions to drive target reporting outcomes across the business
Decompose systems into component parts and build the case for transformation
Design and own data pipelines end to end — from ingestion through reconciliation and output
Work directly with engineering to build and quickly deploy solutions
Translate between business logic and technical implementation without losing fidelity on either side
Support reporting of key KPIs related to investment and fund performance
Implement tools and automate the calculation of performance metrics for internal and external reporting
Manage and develop a small team of analysts as the function grows