Vice President, Operations - Data Integrity Group

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

With $273 billion in assets under management as of March 31, 2025, 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 1,200 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com.

Summary/Objective:

Blue Owl Insurance Solutions (BOIS) is searching for a Data Integrity Group (DIG), Vice President, which will be a member and join the BOIS Operations Team and lead a team of DIG professionals. The DIG, Vice President is responsible for providing high-quality and timely operational client service to both internal and external stakeholders. The ideal candidate is a self-starter with exceptional attention to detail, the ability to work under tight deadlines and lead a team of DIG professionals.

Duties and Responsibilities:

• Ability to self-manage in a high volume, fast-paced environment with strict deadlines and lead a team of DIG professionals.
• Oversee the daily maintenance, oversight, and quality control checks of Security Master Files/Data in BlackRock to ensure analytics are generating appropriately and within expectations.
• Manage the research and resolution of any complex investment data & reporting related issues.
• Lead the continued development of BOIS’s data analytics capability and monitor data quality across BOIS and aid in the evaluation of data quality tools and monitoring systems.
• Communicate daily with internal departments and third-party venders to expedite timely resolution of data, reporting, cash projections, and system related issues.
• Lead the internal initiative to develop a comprehensive data catalog and data glossary.
• Maintain day-to-day relationships with the clients.
• Contribute to the creation and maintenance of written procedures.
• Perform daily, monthly, and quarterly audits as required.
• Participate in technology development efforts and process optimization as needed.

Requirements:

Experience

• Bachelor’s degree in Accounting, Economics, Finance, Management Information Systems, Information Services, or a comparably technical field.
• 6-10 years of work experience in financial services or an adjacent industry, preferably on cross-functional teams.
• Supervisory experience required.
• Competent in Microsoft Office programs, strong Excel skills are necessary.
• BlackRock experience required.
• Must have strong professionalism and communication skills.
• Displays excellent organization, time management and planning skills.
• Ability to manage multiple tasks effectively.
• Displays high attention to detail, accuracy, thoroughness, and thoughtfulness.
• Commitment to meeting identified quality and efficiency standards.
• Commits to satisfying internal and external customers.
• Ability to translate / experience with data from multiple environments (e.g.: data warehouse, data modeling, data pipelines / ETL, accounting system, risk-management system).

Skills/Competencies

• Working knowledge of financial markets and investment vehicles including fixed income, private credit, and equities.
• Strong interpersonal, verbal, and written communications skills.
• Strong analytical and problem-solving skills.
• Analytical mindset and ability to work effectively and lead cross-functional teams.
• Ability to balance big picture with details.
• Ability to collaborate with key partners and business leaders.
• Demonstrable understanding of data management principles and governance best practices
• Demonstrated ability to deliver results under pressure in a tight timeframe.
• Some Python background preferred.

• Familiarity with SQL, Snowflake, and BI tools (Looker, PowerBI, Tableau).

• Proficiency in data modeling techniques and statistical analysis of data.

Physical Demands

• Normal office working environment.
• Occasional evening and weekend hours to meet deadlines.
• Travel may be required.
• Ability to sit for extended periods of time.
• Ability to type / perform data entry