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Manager Of Data Science Jobs (NOW HIRING)

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. * Hands-on experience architecting AWS cloud ...

New

Responsibilities : • Lead, mentor, and grow a team of data scientists, providing technical ... or people-management responsibility • Proven experience delivering machine learning solutions ...

We believe that the power of people and AI can have a meaningful impact on your world, creating ... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ...

As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust ...

New

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex ...

Showing results 41-60

Manager Of Data Science information

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$31K

$97.1K

$172K

How much do manager of data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager of data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What cities are hiring for Manager Of Data Science jobs?

Cities with the most Manager Of Data Science job openings:

What are the most commonly searched types of Of Data Science jobs?

The most popular types of Of Data Science jobs are:

Who are the top companies hiring for Manager Of Data Science jobs?

The top employers for Manager Of Data Science jobs are:

What states have the most Manager Of Data Science jobs?

States with the most job openings for Manager Of Data Science jobs include:

Sr Director Head of Data Science Services

Johnson & Johnson

New Brunswick, NJ • On-site

Full-time

Retirement, PTO

Posted 16 days ago


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

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, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, 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 jnj.com

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:

People Leader

All Job Posting Locations:

New Brunswick, New Jersey, United States of America

Job Description:

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.

Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

The anticipated base pay range for this position is :

$196,000.00 - $342,700.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year

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