KKR US | Data Operations - Distribution Data Enablement Lead

Responsibilities

• 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.
• This role will help define and build a quantitative, forward-looking, and solution-oriented data enablement capability for Distribution.
• Serve as the primary analytics partner for Distribution business performance, fund performance analytics, LP-level insights, and investor economics.
• Lead the evolution of the historical Performance Analytics function from a private markets-focused reporting capability into a broader cross-asset-class Distribution advanced analytics and data enablement function.
• Build analytical models, Python-based data applications, automation, and self-service tools that enable scalable insight generation rather than one-off analysis.
• Deliver high-quality ad-hoc analysis, performance insights, hypothetical scenarios, investor analytics, and business performance reporting for senior Distribution stakeholders.
• Develop LP-level analytics across asset classes, including investor performance, exposure, allocation, capital activity, product participation, and relationship-level economics.
• Build profitability and commercial performance analytics for LP relationships, including revenue, economics, resource intensity, product participation, and long-term relationship value.
• Support macro-Distribution business performance analysis, including fundraising trends, platform economics, investor segmentation, product performance, and concentration across LPs, channels, regions, and strategies.
• Partner with Technology and Data Operations to productionize prototypes, improve data pipelines, and strengthen the broader Distribution analytics infrastructure.
• Establish quality controls, documentation, and governance standards for recurring analytics, scenario models, dashboards, and decision-support tools.
• Integrate Distribution, fund, investor, deal, finance, and accounting data to create richer analytical views of investor outcomes and business performance
• Translate complex fund, deal, LP, and commercial data into clear insights, executive-ready narratives, and decision-support materials
• Help define the long-term operating model for Distribution data enablement, including service model, toolset, prioritization framework, data standards, and partnership model with Product Strategy, Finance, Technology, and Distribution stakeholders

Requirements

• Experience with business performance or profitability analytics, including client profitability, revenue attribution, relationship value, platform economics, segmentation, concentration, and commercial trend analysis.
• Familiarity with financial books and records, fund accounting, investment accounting, and performance data environments; experience with platforms such as Investran, Geneva, Salesforce, or similar systems preferred.
• Highly hands-on technical coding skills, including advanced Python capability and experience building analytical tools, applications, automation, reusable models, and scalable reporting solutions.
• Experience with Sigma, Power BI, Tableau, or similar business intelligence platforms, including dashboard design, semantic data modeling, governed metrics, and self-service analytics.
• Demonstrated ability to reduce reliance on manual Excel-based workflows and replace them with scalable, controlled, automated, and transparent analytical processes.
• Strong commercial judgment, with the ability to connect analytical outputs to Distribution strategy, investor engagement, product decisions, and business performance outcomes.
• Ability to operate effectively with senior stakeholders while managing fast-moving ad hoc requests and longer-term capability-building priorities.
• Strong communication skills, with the ability to explain complex quantitative, data, performance, and profitability concepts clearly to technical and non-technical audiences.
• Advanced degrees in finance, economics, mathematics, statistics, engineering, computer science, operations research, or another quantitative discipline preferred.
• Actual salaries may vary based on factors, such as skill, experience, and qualification for the role.
• Deep understanding of private markets performance concepts/metrics, including fund structures, LP reporting, capital activity, valuations, fund cash flows, IRR, MOIC, TVPI, DPI, PME, benchmarking, performance attribution models, and deal-level contribution analysis
• Strong cross-asset-class orientation, with the ability to extend fund, investor, and business performance analytics across private equity, credit, real estate, infrastructure, insurance-related strategies, and other investment products
• Strong understanding of LP-level analytics, including investor exposure, product participation, capital commitments, unfunded balances, subscriptions, redemptions, distributions, realized/unrealized performance, and relationship economics
• Advanced SQL and database manipulation skills, with the ability to work directly with large, complex datasets across fund, deal, investor, performance, fundraising, revenue, and commercial domains (Snowflake or Databricks experience strongly preferred)

KKR US

KKR US is an employer hiring in India (sector: BFSI / Investments / Insurance).

Its finance, accounts, audit and tax openings in India are mostly in Boston, New York and Dallas.

• Industry: BFSI / Investments / Insurance