Vice President, Data Analytics

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives®. 
 

With over $250 billion in assets under management as of December 31, 2024, we invest across three multi-strategy platforms: Credit, GP Strategic Capital, and Real Assets. Anchored by a
strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies
​differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.

Together with over 1,100 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com.

Responsibilities:

• Lead the continued development of Blue Owl’s data analytics capability.
• Monitor data quality across the organization and aid in the evaluation of data quality tools and monitoring systems.
• Lead the internal initiative to develop a comprehensive data catalog and data glossary. 
• Work closely with stakeholders across the organization and third-party vendors to normalize and consolidate information.
• Set and enforce standards related to data quality.
• Participate in ad hoc projects related to reporting and process optimization.    

Qualifications:

• Hands-on and entrepreneurial mindset with an interest in complex systems.
• Strong attention to detail, organized, analytical.
• 6-10 years of work experience in financial services or an adjacent industry, preferably on cross-functional teams.
• Experience with data warehousing, data modeling, and data pipelines / ETL.
• Working knowledge of financial instruments, fund accounting, and performance calculations.
• BS in Finance, Accounting, Management Information Systems, Information Sciences or a comparably technical field.

Technical Skills:

• Demonstrable understanding of data management principles and governance best practices.
• Proficiency in data modeling techniques and statistical analysis of data.
• Familiarity with SQL, Snowflake, Excel, ETL, and BI tools (Looker, PowerBI, Tableau).
• Strong verbal and written communicator.
• Some Python background preferred.

It is expected that the base annual salary range for this New York City-based position will be $150,000 - $200,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.