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:

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job Description:

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 https://www.jnj.com./

 

The Lead Analyst, Data Product owns business partner relationships and assigned MedTech Supply Chain data products throughout their lifecycle. The role translates business needs into useful, governed data models that enable measurable outcomes.

 

We develop trusted, reusable data products built around real business needs. In this role, you will help prioritize demand, guide lifecycle readiness, and ensure data products are reliable, consumed, and delivering business value.

 

Duties & Responsibilities

You will partner with supply chain partner teams to understand the problems, business decisions, operational workflows, and use cases that data products need to support. Through workshops and interviews, you will turn business opportunities into clear product scope, requirements, success measures, and acceptance criteria.

 

You will own assigned data products across their end-to-end lifecycle, from discovery and definition through delivery, marketplace publication, adoption, and continuous improvement. This includes owning product roadmaps and backlogs while ensuring products have the business context, metadata, governance, and readiness needed for successful use.

 

Key responsibilities include:

• Lead discovery and prioritization of business problems, use cases, decisions, workflows, and desired outcomes.
• Translate prioritized use cases into actionable product direction, defining what the product will deliver, how success will be measured, required data sources, consumers, ownership, and key dependencies.
• Lead domain-aligned data product squads, connecting business partners with governance, architecture, engineering, platform, and delivery teams to set priorities, make decisions, and advance products through their lifecycle.
• Build trusted and governed data products by establishing business definitions, ownership, metadata, data-quality requirements, semantic standards, and reusable data models.
• Prepare and launch products for consumption, including certification, marketplace publication, documentation, support models, service-level agreements, and consumer onboarding.
• Drive ongoing product performance and improvement by measuring adoption, quality, performance, feedback, and business value. Use these insights to prioritize improvements, address risks, and communicate outcomes.

 

The Lead Analyst will also help resolve delivery issues and surface dependencies, funding needs, policy questions, and cross-product decisions requiring broader alignment.

Qualifications:

Education:

• A minimum of a bachelor’s degree and/or University degree is required

 

Successful candidates will bring experience in data product management, product management, business analysis, data and analytics delivery, or a related field. Experience leading multifaceted data or analytics initiatives from discovery through delivery is highly valued.

 

You should be comfortable working directly with business domain partners to uncover opportunities, challenge assumptions, identify ambiguity, and translate business problems into clear requirements. The role requires good communication skills and an ability to bring business and technical specialists together across organizational boundaries.

 

Knowledge or experience in the following areas is valuable:

• Data requirements, source systems, data modeling, integration, governance, data quality, and data consumption
• Enterprise data platforms, data marketplaces, metadata, lineage, business glossaries, stewardship, and data-quality practices
• Data governance platforms such as Alation
• Supply Chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution, or order fulfillment
• MedTech, pharmaceutical, healthcare, or another regulated industry

 

Experience working with globally distributed teams, including European or nearshore partners, is preferred.

• Experience in MedTech, pharmaceutical, healthcare, or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.

Other:

The role may require up to 10% domestic and/or international travel based on business needs.

The role is required to be fully onsite in accordance with the applicable attendance policy.

Johnson & Johnson is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform integral job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Compliance Management, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Differential Insights, Inclusive Leadership, Leadership, Workflow Management

 

 

The anticipated base pay range for this position is :

$109,000.00 - $174,800.00

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)).

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

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits