Data Delivery Operations

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.

KKR's Gurugram office
provides best in class services and solutions to our internal stakeholders and

clients, drives organization wide process efficiency and transformation, and reflects KKR's global culture

and values of teamwork and innovation. The office contains multifunctional business capabilities and

will be integral in furthering the growth and transformation of KKR.

Position Summary
KKR is building an enterprise Data Operations organization to collect, manage, and harness the power of data across its diverse business activities. The Data Operations Center of Excellence (CoE) is a cross- functional team responsible for defining and executing KKR's enterprise data management strategy while providing the operational leverage needed to bring these frameworks to life.

We are seeking a Manager within the Data Operations CoE to lead Business Intelligence (BI) Data Solutions. This individual will act as a strategic data partner to various KKR teams and functions, ensuring that all BI solutions are accurate, scalable, and aligned with KKR's data and reporting standards.

The BI Manager will lead a team of data professionals, serving as both a hands-on problem solver and a mentor. This role will involve diagnosing complex data and reporting challenges, designing innovative solutions, and guiding the team in executing high-quality, sustainable deliverables.

Roles & Responsibilities
Operational Excellence

• Build and maintain production-grade data apps and dashboards (Power BI, Sigma, Streamlit) for portfolio, performance, and expense analytics.
• Translate business needs into clear dataset and reporting requirements; document use cases, data contracts, and acceptance criteria.
• Collaborate with the Data Engineering team to define common, reusable data models and semantic layers that scale across funds, products, and teams.
• Design and implement complex SQL data models and ELT logic to power automated investor reporting and operational KPIs.
• Deliver advanced analytics use cases (e.g., KKR Expense Analysis) end-to-end — including scoping, prototyping, data wrangling, model design, visualization, testing, and deployment.
• Establish robust reporting operations, including version control, refresh schedules, data quality checks, and access governance.
• Execute ad-hoc data projects within tight deadlines, effectively communicating trade-offs, risks, and progress to stakeholders.

Stakeholder Management

• Collaborate with Platform Engineering teams to support and recommend enhancements for digital reporting capabilities and data platform tools.
• Communicate and coordinate with relevant teams to identify and close data gaps in a clear, structured, and timely manner.
• Serve as the primary point of contact for data-related queries and updates from internal and external stakeholders, delivering ad-hoc analytics to address key business questions promptly.
• Drive and manage the end-to-end delivery of BI and data initiatives — from scoping and prioritization to execution — ensuring clear ownership, accountability, and measurable business impact.

Reporting & Governance

• Design and document standard operating procedures for data management
• Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented

Qualifications

• Bachelor's degree or equivalent work experience required.
• Minimum of 6 years of data-intensive experience within the financial services industry.
• Experience in a multinational financial services organization and/or private equity environment preferred.
• Proven experience working with complex data sets using programming languages such as Python.
• Strong ability to adhere to compliance standards and process requirements.
• Advanced analytical and data visualization skills using tools such as Power BI, Sigma Computing, and Python Streamlit (Python proficiency preferred).
• Exceptional SQL expertise (Snowflake preferred) with deep data knowledge and hands-on ability to develop solutions across multiple platforms; programming experience in Python is a strong plus.
• Meticulous attention to detail and strong organizational skills.
• Demonstrates outstanding initiative, accountability, and a strong work ethic.
• Focused on delivery excellence with a commitment to measurable outcomes.
• Highly collaborative team player who builds strong relationships with both local and global colleagues.
• Displays integrity, professionalism, and sound judgment in all interactions.
• Excellent written, verbal, and interpersonal communication skills.

This position is a full-time position and will be onsite in our Gurugram office. We are operating in 4 days a week in office, 1 day a week flexible work arrangement.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.