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Sr Director Head of Data Science Services

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer (Applied/Software), Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Sr Director Head of Data Science Services

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences Job Sub Function:

Data Science Job Category:

All Job Posting Locations:

Job Description:

Johnson & Johnson Services, Inc. is recruiting for a Senior Director, Head of Data Science Services, located in 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.

The Senior Director, Head of Data Science Services is the enterprise authority for workforce data science and intelligence—setting the vision, standards, and impact agenda for how advanced 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.

The Senior Director, Head of Data Science Services does not simply deliver analytics; they industrialize insight. They establish a durable, trusted, and responsible data science capability that anticipates workforce 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, the Senior Director, Head of Data Science Services shapes how AI is responsibly applied across HR—ensuring models are explainable, outcomes are trusted, and insights are designed to augment human judgment, not replace it.

Key Responsibilities:

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

Lead the HR data science team responsible 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 the employee 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 enterprise HR 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…

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