Johnson & Johnson Posted October 23, 2026

Senior Manager, Data Science

Raynham, United States Full time
Notify me about similar jobs

Johnson & Johnson is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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 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:

Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description:

DePuy Synthes is recruiting for a Manager, Data Science .This role can be based in Raynham, MA, West Chester, PA, or Raritan, NJ,

The Data Science Manager plays a key leadership role in advancing data science, artificial intelligence, and analytics capabilities across Finance. This position leads a team responsible for developing scalable, business-focused solutions that improve forecasting, strengthen decision-making, and drive efficiency across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes. The manager partners closely with Finance, Technology, and cross-functional stakeholders to translate business priorities into high-impact analytical products and to promote responsible, governed adoption of data science and AI. The role offers the opportunity to shape the team’s strategy, develop talent, and deliver measurable value across a broad portfolio of finance priorities.

Key Responsibilities

Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes.

Manage forecasting initiatives by guiding solution design, model development, validation, deployment, performance monitoring, and continuous improvement.

Identify and deliver opportunities to improve the efficiency, accuracy, and effectiveness of Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes through data science, automation, and AI.

Partner with Finance, Technology, and other cross-functional stakeholders to translate business needs into clear analytical roadmaps, prioritized use cases, and scalable solutions.

Oversee the development of analytical products and decision-support tools that convert complex financial and operational data into clear, actionable insights.

Manage, coach, and develop data scientists and analytics professionals, fostering technical excellence, collaboration, accountability, and an inclusive high-performance culture.

Establish and maintain standards for model governance, data quality, documentation, validation, controls, and responsible AI in a regulated environment.

Drive adoption and sustained value by embedding data science and AI solutions into business processes, measuring impact, and supporting change management.

Qualifications 

Education:

Required: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, or a related quantitative field.

Preferred: Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, or a related discipline.

Experience and Skills:  

Required: 

Typically, 6-8 years of progressive experience in data science, advanced analytics, machine learning, or related quantitative roles, including experience leading people and complex analytical workstreams.

Demonstrated experience developing and operationalizing forecasting, predictive modeling, optimization, or other advanced analytics solutions.

Experience managing and mentoring data science and analytics professionals and influencing stakeholders in a matrixed global environment.

Strong understanding of finance processes and the ability to identify opportunities for data science and AI to improve efficiency, controls, and decision-making across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C).

Strong proficiency in relevant data science technologies and methods, such as Python or R, SQL, machine learning, statistical modeling, cloud data platforms, and business intelligence tools.

Preferred:

Experience applying data science and AI within Finance or another complex business function in a global, highly regulated environment.

Experience with generative AI, intelligent automation, MLOps, model governance, or responsible AI practices.

Change management or transformation experience supporting adoption of new analytical capabilities and ways of working.

Familiarity with enterprise data architectures, finance data models, ERP systems, and cloud-based analytics platforms.

Proven ability to communicate complex analytical concepts clearly and translate data into actionable recommendations for senior leaders.

Other: 

Language: English required; additional languages a plus.

Travel: Up to ~10–15%, primarily domestic.

Certifications: Analytics, finance, or project management certifications preferred but not required.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit  www.careers.jnj.com .

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via  https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#LI-Hybrid

#DePuySynthesCareers

Required Skills:

Preferred Skills:

Analytical Reasoning, Budgeting, Business Savvy, Consulting, Econometric Models, Financial Analysis, Financial Competence, Financial Forecasting, Financial Modeling, Financial Planning, Financial Reports, Financial Risk Management (FRM), Industry Analysis, Internal Controls, Organizing, Project Management, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Job details

Seniority
Manager
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Raynham, United States
Employment type
Full time

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 101 comparable Manager Biostatistics & Data Science roles across 26 biopharma companies.

101Comparable roles tracked
97Currently active
26Companies hiring similar roles
14Countries represented

Salary context

59 of 101 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject $137,000/yr – $235,750/yr
Lowest disclosed · Associate Data Scientist I · AbbVie $58,656/yr – $103,500/yr
Highest disclosed · Biostatistics Associate Director (HYBRID) · Vertex Pharmaceuticals Inc (US) $174,800/yr – $262,200/yr
Peer group range $81,078 – $218,500 (median $159,000)

Where these roles are based

Top locations among the 101 comparable roles

United States73
India7
United Kingdom4
Ireland2
Canada2
China2

+ 8 more countries

Seniority mix

101 of 101 peers have a known seniority level

Manager53
Associate Director36
Associate12

Therapeutic area mix

10 of 101 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology5
Immunology5

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

60%similar
AbbVie Manager
Same function Same seniority Same country

Open in 4 locations

North Chicago, United StatesFlorham Park, United StatesIrvine, United StatesSouth San Francisco, United States
60%similar
Otsuka Pharmaceutical Development and Commercialization, Inc. Princeton, United States Manager
Same function Same seniority Same country
60%similar
AbbVie Manager
Same function Same seniority Same country

Open in 4 locations

Florham Park, United StatesNorth Chicago, United StatesIrvine, United StatesSouth San Francisco, United States
60%similar
AbbVie North Chicago, IL Manager
Same function Same seniority Same country

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

Or follow a whole field: get every new Biostatistics & Data Science job in the United States, and choose locations and companies.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
Manager, Clinical Data and Reporting Standards - SDTM Programming (Hybrid)
AbbVie · North Chicago, IL · Manager
Function Therapeutic area Seniority Country
60%
Manager, Clinical Data and Reporting Standards - SDTM Programming (Hybrid)
AbbVie · South San Francisco, CA · Manager
Function Therapeutic area Seniority Country
60%
Manager - Statistical Programming (Hybrid)
AbbVie · North Chicago, IL · Manager
Function Therapeutic area Seniority Country
60%
Manager - Data Standards, SDTM Programming (Hybrid)
AbbVie · North Chicago, IL · Manager
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.