Data Operations - Distribution Data Enablement Lead

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. TEAM OVERVIEW KKR’s Global Data Operations team is responsible for collecting, managing, governing, and harnessing data across the firm. Within Data Operations, the Data Operations Center of Excellence (CoE) operates as a hub-and-spoke data delivery engine, pairing functional spokes with deep business expertise and a central delivery hub with scalable data, analytics, governance, reporting, and core data management capabilities. The Distribution Data Enablement team is the functional spoke supporting KKR’s Distribution organization, delivering trusted data and analytics solutions across client and LP data management, operational controls and reconcili [... source excerpt omitted ...] e 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 [... source excerpt omitted ...] eavy performance analytics processes through reusable models, governed datasets, standardized calculations, and automated workflows Partner with Technology and Data Operations to productionize prototypes, improve data pipelines, and strengthen the broader Distribution analytics infrastructure Translate complex fund, deal, LP, and commercial data into clear insights, executive-ready narratives, and decision-support materials Establish quality controls, documentation, and governance standards for recurring analytics, scenario models, dashboards, and decision-support tools Help define the long-term operating model for Distribution data enablement, including service model, toolset,