Sr Director Head of Data Science Services

Johnson & Johnson Services Inc. is recruiting foraSeniorDirectorHead of Data Science Serviceslocatedin New Brunswick NJ.

HR Data & Intelligence sits at the heart of Johnson & Johnsons 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 decisionsthey 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 DirectorHead of Data Science Servicesis the enterprise authority for workforce data science and intelligencesetting 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 signalsstructured unstructured and experientialinto predictive insight scalable models and decision intelligence embedded directly into HR products platforms and moments that matter.

TheSenior DirectorHead 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 DirectorHead of Data Science Servicesshapes how AI is responsibly applied across HRensuring 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 technologiesincluding generative AI large language models and natural language processingto 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 BrunswickNJfull-time and may require up to 10% travel both domestic and international.