Private Market and other Thematic Indices‘ data owner

About the Role As a Private Market Indices data owner within the Global Index Management & Production Group (IMPG), you will be responsible for preparing, validating, and ensuring the accuracy of private equity, venture capital, private debt, and real asset data ahead of scheduled index rebalances. You will work with various datasets that include valuations, holdings, and transaction records, applying rigorous validation checks against trusted reference sources. Responsibilities and Impact As the key point of accountability for private market data quality, you will work closely with internal and external data providers to ensure our data mastering processes deliver trusted information for rebalances, analytics, reporting, and decision‑making. The Data Owner is responsible for onboarding, management and quality of a variety of private‑market related data items used for the production and maintenance of S&P Dow Jones‑branded indices. Own the private market data pipeline that powers investment analytics, portfolio monitoring, and strategic decision‑making. Build a career at the intersection of private markets, data operations, and data governance in a high‑impact, visible role. Shape and optimize validation processes that directly affect index rebalances. Gain end‑to‑end exposure to the private markets and thematic data lifecycle from ingestion and reconciliation through to golden source mastering and reporting. Influence data standards and governance frameworks used firmwide across private equity and thematic data. Collaborate with R&D, Operations and Technology to enhance data quality, structure, and usability. Develop deep expertise in sourcing, validating, and mastering data from multiple internal and external sources. Key Responsibilities 1. Data Ownership & Stewardship Act as the primary owner for private market investment datasets (fund, company, asset‑level) across the data lifecycle. Define, maintain, and enforce data standards, taxonomies, and hierarchies (e.g., entity, instrument, deal structures). Oversee golden source mastering processes to ensure a single version of truth for private market data for both private stock and private credit. 2. Data Validation & Quality Control Develop and execute robust validation rules for completeness, accuracy, and timeliness of data from internal and external sources. Perform data reconciliation across multiple sources (administrators, managers, custodians, market data vendors). Investigate and resolve data exceptions in coordination with operations and investment teams. 3. Process & Governance Collaborate with data automation teams to design automated validation and mastering workflows. Maintain detailed data dictionaries, lineage, and governance documentation for private market and thematic datasets. Contribute to data governance forums and enforce compliance with data policies and controls. 4. Stakeholder Engagement Serve as the subject‑matter expert for private market data structure, sourcing, and usage. Partner with Research & Design, Product and Operations teams to ensure data meets business needs. Liaise with external vendors and data providers to manage SLAs, and data delivery standards. Basic Qualifications Bachelor’s degree in Finance, Accounting, Business, or relevant field. Demonstrable understanding of global financial markets. Self‑starter with good problem‑solving skills. Ability to work independently and collaborate effectively within a team. Good time‑management skills and ability to work independently on multiple projects with minimal supervision. Excellent analytical and quantitative capabilities to solve non‑routine problems in a timely and insightful manner. Proficient in Excel, PowerPoint and other MS Office applications. Preferred Qualifications Advanced degree in business or finance, and/or progression in a financial qualification (e.g., CFA). Minimum 3‑4 years of professional experience handling financial data. Intermediate knowledge of Python, SQL, Power Automate for data transformations, process automation, data analysis and quality assurance. Experience with Databricks. Compensation and Benefits Base salary range (US): $83,313 – $117,365, adjusted for location, experience, skills, and certifications. Eligible for an annual incentive plan and S&P Global benefits including health & wellness coverage, generous time off, continuous learning resources, financial wellness programs, family‑friendly perks, and more. For a detailed list of benefits, please visit the S&P Global benefits page. Equal Opportunity Employer S&P Global is an equal‑opportunity employer. All qualified candidates will receive consideration without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or any other protected status. Only electronic job submissions will be considered for employment. Pay Transparency Nondiscrimination Provision – #J-18808-Ljbffr S&P Global, Inc.