Senior Director, Product Group Leader - Global Services Finance

Senior Director, Product Group Leader – Global Services Finance

We are seeking a strategic technology leader to lead the Finance Data & AI Product Group for Global Services Finance. Based in New Brunswick, NJ (or any Global Services Hub), this individual will define and execute AI, automation, and digital product strategy across finance operations, translating business priorities into a cohesive product and platform roadmap.

• Define vision, goals, and operating model for the Finance Data & AI Product Group, ensuring alignment with Finance strategy, enterprise architecture, and business value priorities.
• Shape demand and roadmap priorities with Finance technology and business leaders, linking investments to transformation objectives, service performance, compliance, and measurable financial outcomes.
• Lead portfolio planning, funding proposals, and lifecycle management across AI, analytics, automation, reporting, integration, and data platform capabilities.
• Ensure product teams deliver against defined outcomes, service levels, and adoption targets while managing total cost of ownership and technology risk through disciplined governance.
• Act as the digital execution leader for GS Finance, converting operational insights into reusable, enterprise-grade capabilities.
• Embed AI capabilities across finance products and workflows, including forecasting, anomaly detection, reconciliations, policy adherence, exception handling, and assistant experiences.
• Partner with Data Science, Engineering, and Product teams to define AI use cases, data requirements, evaluation criteria, and release priorities based on business value, control considerations, and operational readiness.
• Establish responsible AI practices, covering model governance, human oversight, traceability, performance monitoring, and compliance with Risk, Compliance, and Internal Audit.
• Develop standards for prompt design, workflow orchestration, and AI adoption to improve analyst, operator, and controller productivity.
• Oversee data, integration, and platform architecture required to support finance products, ensuring AI readiness, reliability, scalability, security, and compliance.
• Guide conceptual, logical, and physical data models supporting planning, close, reporting, payroll, cash application, collections, controls, and decision support.
• Modernize and automate data flows and manual finance processes to improve speed, accuracy, resilience, and transparency.
• Collaborate with Technology Services and enterprise platform teams to deliver secure, performant infrastructure and dependable service operations.
• Establish strong data governance and quality practices with ownership, lineage, controls, and issue remediation.
• Partner with PGLs, Technology Services, Finance leadership, and Product Groups across functions to deliver cohesive strategies and releases.
• Establish operating rhythms, KPIs, OKRs, and reporting for roadmap progress, adoption, and value realization.
• Oversee change management, communications, and enablement for AI and product releases.
• Build and lead a global matrixed team of product managers, AI practitioners, data engineers, data architects, and platform owners.
• Develop talent pipelines, career paths, coaching, and succession planning for AI, data, and finance technology roles.
• Foster a culture of learning, innovation, technical excellence, and operational rigor aligned to responsible AI practices.
• Shape organizational constructs that align with modern product and AI operating models.

• 10+ years of progressive leadership experience spanning finance technology, digital product management, data platforms, or enterprise transformation, with responsibility for strategy, delivery, and stakeholder alignment.
• Demonstrated success leading complex technology or product portfolios that support core finance processes such as Invoice‑to‑Cash, payroll, planning, forecasting, close, reporting, treasury, tax, or controls.
• Strong financial process acumen, including upstream and downstream dependencies, internal controls, working‑capital drivers, service performance metrics, and regulatory requirements such as SOX.
• Experience…