Head of Finance Transformation and Data Analytics

Booking Holdings (NASDAQ: BKNG)•New York, NY

3d•$260,000 - $320,000•Hybrid

About The Position

Booking Holdings is seeking a Head of Finance Transformation & Data Analytics to build and lead a new Finance Operations & Data Analytics function for a newly established business. This leader will report directly to the B2B Chief Financial Officer and will establish the data, analytics, AI, and operational foundation necessary for a multi-billion-dollar business to scale efficiently. The role combines finance transformation, enterprise data strategy, AI enablement, and operational excellence, requiring partnership across Finance, Technology, Product, Enterprise Applications, and executive leadership to modernize Finance operations through data, automation, and scalable processes.

Requirements

12+ years of experience in FP&A, finance transformation, enterprise performance management, project management, or related disciplines.
Background originating inside a $1B+ public corporation.
Bachelor’s or Master’s degree preferred.
Six Sigma or other Lean Management certifications and Project Management credentials.
Prior experience navigating complex, highly matrix-oriented corporations.
High proficiency with enterprise-level financial infrastructure, typically leveraging modern tools like Snowflake, Databricks, Codex, Claude, etc. and more established financial ecosystems like Oracle EBS, SAP, Hyperion/HRM, Essbase, BlackLine, Anaplan, Fintastic, and OneStream.
Experience with carve-outs or M&A preferred.
Exceptional analytical skills and natural curiosity regarding financial metrics and key business drivers.
Strong communicator, able to adapt style and message depending on audience.
High integrity standards, transparent behavior.
Able to function in a fast-moving entrepreneurial environment.
Data driven, experimental, ready to learn and open to change.

Responsibilities

Develop and execute the finance data and analytics strategy for the B2B operating segment.
Establish a centralized, trusted repository for financial and operational data.
Define and govern enterprise finance KPIs, business rules, metric hierarchies, and data lineage.
Partner with Enterprise Applications and data engineering teams to develop and maintain a finance semantic layer.
Build a multi-year roadmap for finance data modernization, executive dashboards, management reporting, forecasting capabilities, and performance insights.
Deliver scalable reporting solutions for real-time visibility into financial performance, operational trends, and strategic priorities.
Develop and execute the Finance AI and automation strategy.
Champion the adoption of AI-enabled solutions across forecasting, variance analysis, financial close, workforce planning, scenario modeling, and executive reporting.
Evaluate emerging AI capabilities and partner with enterprise technology teams to integrate AI into finance processes.
Promote AI literacy and adoption across the Finance organization while establishing governance for AI use.
Lead finance transformation initiatives supporting the creation and scaling of the standalone B2B organization.
Assess current capabilities and recommend future-state operating models, systems, and processes.
Translate complex transformation initiatives into phased implementation plans.
Partner with enterprise PMO and cross-functional teams to ensure Finance is represented across strategic business initiatives.
Represent the B2B Finance organization in enterprise-wide finance transformation programs.
Develop executive dashboards, performance reporting, and Board- and leadership-level presentations.
Support the annual investment planning process by developing business cases, evaluating financial assumptions, and providing strategic decision support.
Build operating rhythms that improve financial transparency, forecast accuracy, and business performance management.
Build, lead, and develop a high-performing Finance Operations & Data Analytics organization.
Foster a culture of continuous improvement, innovation, collaboration, accountability, and data-driven decision-making.
Establish clear career development paths while attracting and retaining exceptional talent.