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 reconciliations, fund performance, LP outcomes, relationship economics, fundraising trends, and broader business performance across asset classes.

POSITION OVERVIEW

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.