Sr Director Head of Data Science Services

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.