We are seeking a Principal-level Distribution Data Enablement Lead to serve as the primary data and analytics partner for Distribution business performance, fund performance analytics, LP-level insights, and cross-asset-class commercial intelligence.
This role will help define and build a quantitative, forward-looking, and solution-oriented data enablement capability for Distribution. The individual will be responsible for developing scalable analytics, models, tools/automation, and data solutions that support decision-making across fundraising, product strategy, investor engagement, fund performance, LP outcomes, relationship economics, and broader commercial performance.
The successful candidate will design, build and lead advanced analytical capabilities, including the Python-based models, applications, automation, and self-service tools required to operationalize the function. These capabilities will help Distribution answer complex questions such as how fund performance changes if specific deals are included or excluded, how outcomes compare across strategies, how co-investment participation affects investor outcomes, how LP relationships perform economically over time, where profitability is concentrated across the client base, and how fundraising, product, and investor trends are evolving across the platform.
This is a highly hands-on technical leadership role. The individual must be able to partner with senior Distribution, Product Strategy, Finance, Investment, and Data/Technology stakeholders while personally building models, prototyping analytical tools, automating workflows, and modernizing the firm’s Distribution data and analytics environment. The role will require strong technical execution, commercial judgment, and the ability to influence strategic architecture decisions as the capability is built out.