Associate, Data Management

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.

Position Overview:
Data Analytics & Technology Solutions (DATS) is StepStone’s unified data analytics and technology department. We build SPI by StepStone, the proprietary technology platform our clients use to navigate private markets, and we deliver the data solutions, automation, and analytics that teams across the firm use every day. The integrity of everything DATS produces depends on the data management processes that sit underneath it.

This role is responsible for the collection, ingestion, validation, and mapping of private markets data across a defined and growing set of business processes within the firm. In private markets, data rarely arrives in a format that is ready to use. This role will be responsible for data processes based on unstructured fund manager documents, structured data in formats that need to be translated into different formats, and direct data collection campaigns. Further, the role will also oversee the consolidation and mapping of data records contained within the proprietary and third-party platforms used across the firm. This individual will maintain an intimate relationship with the data to establish and modernize processes through the strategic use of technology and AI, partnering with engineering, analytics, and product teams across DATS to replace manual effort with scalable, automated workflows while maintaining appropriate human-in-the-loop oversight. The role carries direct management responsibility for a team of data management professionals and oversight of offshore and vendor capacity.

Essential Job Functions:

• Owns the end-to-end design, execution, and quality of data management workflows within the team’s scope, from intake and extraction through validation, mapping, and release to downstream systems and clients
• Establishes the control framework for data quality: accuracy and completeness standards, automated checks and exception queues, and accountability to defined SLAs
• Leads the application of AI and automation across its data management processes, including data extraction, classification, entity resolution, and mapping, while evaluating technologies, designing human-in-the-loop workflows, and measuring accuracy gains and efficiency improvements against manual processes
• Assesses current-state workflows to find the root causes of rework and error, and delivers redesigned processes with documented procedures, controls, and measurable throughput gains
• Governs the data mapping framework that connects source data to StepStone’s enterprise data model, including taxonomies, entity hierarchies, identifiers, and the processes for proposing, approving, versioning, and maintaining mapping rules