Human Capital Data Engineering 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 Technology team is responsible for building and supporting the firm's technological foundation including a globally distributed infrastructure, information security, and the application and data platforms. The team drives a culture of technology excellence across the firm through efficient workflow automation, democratization of data through modern data and collaboration platforms, and more recently through research and development of Generative AI based tools and services. Technology is regarded as a key business enabler at KKR and is an important accelerator to drive towards global scale creation and business process transformation. The Technology team consists of highly technical and business-centric technologists with the ability to form strong partnerships across all of our businesses.

KKR is seeking a Data Engineer to lead the design and construction of world-class data engineering capabilities for the Human Capital domain. This is a pivotal, hands-on technical leadership role requiring deep expertise in modern data engineering and a proven ability to derive critical insights from complex, sensitive people data. Partnering closely with Human Capital leadership and the Human Capital Engineering team, the successful candidate will define the technical blueprint for how KKR structures, stores, and leverages people data to power its analytics and AI platforms across the employee lifecycle — spanning talent acquisition, core HC, performance, compensation, learning, and HC operations. The role ensures data integrity, performance, accessibility, and — critically — the confidentiality and governance demanded by sensitive workforce, compensation, and performance data.

• Lead the Human Capital Data Engineering function and set the strategic direction for the design, modernization, and scaling of people data platforms, pipelines, and reporting capabilities across the employee lifecycle — from talent acquisition and onboarding through performance, compensation, learning and development, and HC operations.

• Own and drive the multi-year data engineering roadmap for Human Capital, establishing a consolidated people data platform and semantic models that enable consistent, trusted reporting and analytics across HC functions.

• Establish the target-state architecture for people data, including scalable data models, ingestion frameworks, data pipelines, and analytics-ready platforms that support workforce, talent, performance, compensation, and people-operations reporting needs.

• Partner with the Chief Human Capital Officer, HC Business Partners, Talent Acquisition, Total Rewards, Talent Management, Learning & Development, People Analytics, and HC Operations — as well as Human Capital Engineering — to align data engineering initiatives with the firm's people strategy and business priorities.

• Oversee the integration of complex internal and third-party data sources across the HC technology stack (e.g., core HCM, ATS, performance, compensation, LMS, engagement,