Blue Owl Capital-posted 3 months ago
Full-time • Mid Level
New York City, NY
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

The GP Strategic Capital platform within Blue Owl is dedicated to acquiring minority equity stakes in and providing long-term financing to established alternative asset managers. Since December 2011, the team has formed 70+ partnerships with leading institutional quality alternative asset management firms. GPSC is seeking to add a member to its Investment Team with a data governance background. This individual will bear day-to-day responsibility for managing the data workflow and governance programs within the business unit.

  • Design and implement a data governance program that promotes data ownership, structure, and transparency, enabling scalable reporting and AI readiness.
  • Define and track KPIs, milestones, and deliverables across multiple workstreams.
  • Work with the business and IT to manage third-party vendors to ensure alignment with strategic goals.
  • Serve as the primary liaison between the business and IT teams.
  • Drive adoption of new tools and processes through training and communication.
  • Own the process of the end-to-end data lifecycle: data ingestion, data validation, transformation, monitoring and reporting.
  • Ensure data from disparate sources is properly validated, cleansed, and transformed before being loaded into centralized databases or reporting environments.
  • Assist the business with and supply data for various data analysis and market research projects.
  • Work with the business and IT to ensure data infrastructure is scalable and AI-ready.
  • Oversee integration of cloud-native tools and services to support advanced analytics.
  • Act as a strategic advisor on how AI can be embedded into business intelligence and reporting processes.
  • 6+ years of experience in data governance and technology assurance in alternative investments.
  • Strong knowledge of data governance frameworks and data quality management.
  • Experience working with various cloud-based platforms, tools and data ingestion from multiple sources.
  • Strong interpersonal and leadership skills.
  • Demonstrated understanding of AI concepts, with the ability to identify opportunities where AI can enhance data consolidation, data classification, reporting, and decision intelligence.
  • Comfortable operating in early-stage or evolving data environments with growing infrastructure.
  • Discretionary bonus based on individual and team performance.
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