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. Key Responsibilities 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. Required Qualifications 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 defining business cases, funding proposals, investment trade‑offs, and value realization metrics for technology and transformation initiatives. Proven ability to influence senior leaders, align cross‑functional stakeholders, and lead matrixed teams across product, engineering, operations, data, risk, and finance. Excellent written and verbal communication skills, with the ability to translate complex technology and AI concepts into clear business decisions and action plans. Demonstrated experience applying AI, machine learning, intelligent automation, or advanced analytics to improve enterprise workflows, product capabilities, user experience, or business outcomes. Strong understanding of modern AI concepts and delivery patterns, including generative AI, agentic AI, model evaluation, prompt design, retrieval approaches, and workflow orchestration. Experience translating AI capabilities into practical finance use cases, product requirements, release plans, and adoption strategies. Ability to work effectively with data science, engineering, security, and risk teams to evaluate feasibility, define controls, and operationalize AI‑enabled functionality. Working knowledge of responsible AI practices, including governance, bias and risk awareness, human‑in‑the‑loop design, auditability, and compliance with enterprise standards. Demonstrated curiosity and learning agility in evaluating new AI tools and platforms and identifying where they can be deployed responsibly for meaningful business value. Preferred Qualifications Deep knowledge of enterprise architecture, business process redesign, finance data models, and technology investment planning. Experience in Global Services, Shared Services, or large‑scale enterprise finance environments with complex operational processes. Familiarity with SAP finance and payroll ecosystems, finance data platforms, and integrated reporting or workflow technologies. Track record of delivering measurable business value through modern technology, data, and AI solutions in a regulated enterprise environment. Benefits (Summary) Annual base pay range: $178,000 – $307,050. Eligible for performance‑based annual bonus and long‑term incentive program. Comprehensive health and life insurance, disability, and short‑term benefits. 401(k) retirement plan with company match and pension options. Paid vacation, sick leave, holiday pay, and parent, bereavement, and caregiver leave. Flexible work arrangements and professional development opportunities. Equal Opportunity Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other characteristic protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities. #J-18808-Ljbffr 6090-Johnson & Johnson Services Inc. Legal Entity