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Johnson & Johnson Services, Inc. is recruiting foraSeniorDirector,Head of Data Science Services,locatedin New Brunswick, NJ.

HR Data & Intelligence sits at the heart of Johnson & Johnson's HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalizes enterprise-scale data, analytics, and AI capabilities that do more than inform decisions-they reshape how HR plans, predicts, personalizes, and performs. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data & Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not only insight-led and future-ready, but a trusted steward of ethical, human-centered intelligence at scale.

TheSenior Director,Head of Data Science Servicesis the enterprise authority for workforce data science and intelligence-setting the vision, standards, and impact agendafor howadvanced analytics and AI power HR across Johnson & Johnson. As the most senior leader accountable for data science services, this role drives the end-to-end conversion of global workforce signals-structured, unstructured, and experiential-into predictive insight, scalable models, and decision intelligence embedded directly into HR products, platforms, and moments that matter.

TheSenior Director,Head of Data ScienceServicesdoes not simply deliver analytics; they industrialize insight. Theyestablisha durable, trusted, and responsible data science capability thatanticipatesworkforce needs, unlocks automation and personalization at scale, and elevates HR from a consumer of data to a producer of enterprise intelligence. Operating at the intersection of technology, science, and human experience, theSenior Director,Head of Data Science Servicesshapes how AI is responsibly applied across HR-ensuring models areexplainable, outcomes are trusted, and insights are designed to augment human judgment, not replace it.

Key Responsibilities:

• Own, define, and evolve the enterpriseHR data science strategy, including quantitative research standards, statistical modeling, machine learning, and advanced analytics used across HR

• Lead theHR data science teamresponsible for building predictive, diagnostic, and prescriptive models that power people analytics, workforce planning, and HR workflow automation

• Establish and enforce methodological quality standards for HR research, model development, validation, and insight storytelling across the organization

• Own theemployee listening strategy, including annual surveys, pulse programs, qualitative listening tools, and the evolution toward continuous and passive listening models at scale

• Ensure employee and product listening insights are translated into clear, prioritized actions for HR leaders, business partners, and HR digital product teams

• Create and lead an enterpriseHR knowledge management capability, defining the strategy and operating model for structured and unstructured HR knowledge that is searchable, current, and reusable across the organization

• Partner across HR and Digital teams to embed knowledge, insights, and models directly into HR workflows, products, and employee-facing experiences

• OwnResponsible AI standards for HR data science, including model fairness, transparency, explainability, and ethical use of workforce data

• Explore and implement emerging AI technologies-including generative AI, large language models, and natural language processing-to enhance HR insights, automation, and employee experiences, while ensuring ethical and transparent use.

• Collaborate with HR AI, Legal, Data Governance, and Technology partners to ensure all HR analytics and AI use cases meet regulatory, privacy, and ethical AI requirements

• Act as an external-facing thought leader, staying current on emerging trends indata science, AI, listening, and knowledge management, and translating them into a forward-looking HRData Science Servicesroadmap

• Partner with senior HR and business leaders to integrate workforce insights into business strategy and measure the impact of advanced analytics on organizational performance, ROI, and talent outcomes.

• Lead and develop a globally distributed team of senior leaders and specialists, fostering a culture of experimentation, rigor, and impact

Qualifications

Required:

• A minimum of aBachelor Degreeis required.Advanced degree (e.g., MS or PhD) in Data Science, Statistics, Industrial-Organizational Psychology, or a related field preferred.

• 10+ years ofprogressive leadership experience in data science, advanced analytics, or people analytics within a complex, matrixed organization

• Deepexpertisein quantitative research methods, statistical modeling, and applied machine learning, with experience operationalizing models for business use

• Proven ability to translate complex data and insights into clear, actionable recommendations for senior leaders

• Experience leading multi-disciplinary teams across analytics, listening, and insight generation functions

• Strong executive communication skills, including the ability to influence, challenge, and align senior stakeholders

Preferred:

• Experience leading or modernizing employee listening programs, including continuous or passive listening approaches

• Experience building or scaling knowledge management or unstructured data capabilities

• Familiarity with modern analytics and HR tech stacks, including Python, R, SQL, Tableau, Power BI, Workday, and cloud-based data platforms (e.g., Snowflake, AWS)

• Experience defining or implementing Responsible AI, ethical analytics, or model governance frameworks in an HR or workforce context

• Experienceoperatingin a global environment with sensitivity to regional, cultural, and regulatory differences

Other:

This positionis located inNew Brunswick,NJfull-time and may require up to 10% travel, both domestic and international.