GP Stakes BSP Portfolio Intelligence, Data/Analytics Engineer VP

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

With over $284 billion in assets under management as of June 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. 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 approximately 1,300 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com

The Role:

The GP Stakes business takes minority ownership stakes in other institutional asset managers (referred to as “Partner Managers”). The existing portfolio consists of 60+ partnerships across a diversified set of GPs with strategies primarily including private equity, public and private credit, and real assets. Our differentiated approach features a robust value creation team called the Business Services Platform, comprised of 60+ professionals globally that provide strategic support to Partner Managers to help drive enterprise value. The Business Services Platform provides support across Client Development and Fundraising, Business Strategy and Growth, and Digital Transformation & Optimization.

In this Data / Analytics Engineer role within GPSC BSP Portfolio Intelligence team, you will play a central role working with our data related to Partner Managers. You will focus on building impactful data visualizations and dashboards for business stakeholders, primarily using sources such as Salesforce, Qualtrics, and our Snowflake data warehouse, along with SQL to manage, clean, and interpret data. You’ll collaborate closely with business teams to set up intuitive visual reports and help translate their needs and questions into solutions they’ll use. This role is pivotal for turning data into actionable insights for the BSP’s leadership and various pillars.

Blue Owl fosters in-person connectivity, so this role requires working in our New York City office Monday through Thursday each week.

Responsibilities:

Data Collection, Aggregation & Pipeline Management
• Connect with stakeholders to understand what metrics and visual insights they need, and how often they need refreshed information.
• Identify and organize key datasets, ensuring we capture the right data from tools like Salesforce, Qualtrics, and other business applications.
• Collect, prepare, and manage incoming business data, and load it into Snowflake, our cloud data warehouse.
• Monitor and maintain the quality of these datasets, keeping documentation straightforward and accessible.
• Quickly identify and resolve any problems with data or reporting pipelines, ensuring dashboards stay current. Data Governance & Quality
• Define validation rules, golden sources, and stewardship processes.
• Run checks to detect duplicates, missing values, and integrity exceptions.
• Publish regular data quality scorecards; drive remediation with content owners.
• Maintain appropriate role-based access controls. Analysis, Visualization & Self-Service Enablement.
• Work directly with business teams and analysts to structure data for easy self-service access in dashboards.
• Build and design interactive dashboards and reports that highlight portfolio performance, trends, and key business results, making use of SQL and Snowflake for data preparation.
• Use visualization tools (such as Tableau or PowerBI) to make complex datasets understandable and attractive for users across the firm.
• Provide quick visual summaries or benchmarking packages that make decision-support easy for stakeholders.
• Collaborate with the AI team to support the use of AI tools to automate tasks like summarizing engagements with Partner Managers or parsing documents, as needed.

Skillset:

Technical
• Advanced proficiency in SQL, and strong experience working with cloud data warehouses, especially Snowflake.
• Hands-on experience connecting and managing data from business systems such as Salesforce and Qualtrics.
• Proven experience in developing business dashboards and reports with visualization tools (Tableau, PowerBI, etc.).
• Comfortable designing workflows that help people access and use data visually.
• Familiarity with basic Python or scripting for data operations is a plus, but not required.
• Familiarity with modern data stack (ex. dagster/Airflow, dbt/SQLmesh, spark, etc.)
• DevOps experience, familiarity building CI/CD pipelines (git, AWS, Docker)

• Experience with data governance best practices, including data lineage/documentation, access control, integrity testing
• Experience with BI/dashboard development (ex. Tableau/PowerBI, Apache Superset); application development experience a plus (ex. Javascript frameworks, HTML/CSS)
• Familiarity with generative AI, LLM APIs, embeddings, vector databases, and prompt engineering basics.
• Experience integrating SaaS business systems (Salesforce, Preqin, Qualtrics, etc.)

Business & Soft Skills:
• Ability to translate business questions into data requirements and vice versa.
• Strong analytical mind-set with meticulous attention to detail.
• Excellent written and verbal communication; can create concise data briefs for senior (non-technical) leadership.
• Project-management discipline; comfortable juggling multiple deadlines.
• Collaborative spirit—you enjoy being the connective hub across teams. Qualifications:
• Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Finance, or related discipline.
• 3+ years’ experience in data management, data engineering, business intelligence, or analytics (financial services or private-equity environment a plus).
• Demonstrated success building production-grade data pipelines and dashboards that influence business decisions.
• Exposure to investment, portfolio monitoring, or KPI benchmarking concepts preferred.

It is expected that the base annual salary for this New York City- based position will be $185,000. 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.

Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.