GP Strategic Capital Technology Assurance Senior Associate

Blue Owl Capital-posted 3 months ago
New York, NY
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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.
  • In coordination with IT, 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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