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Lead Analyst, Data Product

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Run stakeholder workshops to find the business problems and use cases data products must solve

  • Write product charters with scope, success measures, acceptance criteria, and owners

  • Own data products across their lifecycle, from discovery through deployment and adoption

  • Lead domain-aligned data product squads and align business, data, and engineering teams

  • Define governance, ownership, metadata, and data-quality requirements for each product

From the employer’s posting
Discover and prioritize the business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement
Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities
Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience in data product management, product management, business analysis, data and analytics delivery, or a related role, including leading complex data or analytics initiatives from discovery through delivery.
  • Ability to uncover requirements from business subject-matter experts, challenge assumptions, identify ambiguity, and ask probing questions.
  • Strong communication and translation skills across business and technical teams, with the ability to influence stakeholders and coordinate specialists in a matrixed environment without direct authority.
  • Understanding of requirements, source systems, data modeling, governance, data quality, integration, and data consumption.
  • Familiarity with enterprise data platforms, data marketplaces, data mesh or domain-oriented models, metadata, lineage, business glossaries, stewardship, and data-quality rules; experience with governance platforms such as Alation is an asset.
  • Experience supporting Supply Chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution, or order fulfilment.

Preferred experience

  • Experience in MedTech, pharmaceutical, healthcare, or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.
Qualification wording
5+ years of experience in data product management, product management, business analysis, data and analytics delivery, or a related role, including leading complex data or analytics initiatives from discovery through delivery.
Ability to uncover requirements from business subject-matter experts, challenge assumptions, identify ambiguity, and ask probing questions.
Strong communication and translation skills across business and technical teams, with the ability to influence stakeholders and coordinate specialists in a matrixed environment without direct authority.
Understanding of requirements, source systems, data modeling, governance, data quality, integration, and data consumption.
Familiarity with enterprise data platforms, data marketplaces, data mesh or domain-oriented models, metadata, lineage, business glossaries, stewardship, and data-quality rules; experience with governance platforms such as Alation is an asset.
Experience supporting Supply Chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution, or order fulfilment.
Experience in MedTech, pharmaceutical, healthcare, or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.
Apply at Johnson & Johnson

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 41.

At Johnson & Johnson, jobs usually come down by about day 12.

From 11,161 similar postings that came down, and 378 of Johnson & Johnson’s. Coming down is not always a hire.

Johnson & Johnson is hiring

68 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

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Has Johnson & Johnson posted this job before?

Yes. We’ve followed 2 other Lead Analyst, Data Product jobs there since October 2026. One came down after 7 days. One is still up.

  1. New BrunswickCame down after 7 days, first seen Oct 26
  2. BogotáStill up after 1 day, first seen Nov 4
  3. This jobUp 1 day so far, first seen Nov 4

About Johnson & Johnson

People
About 138,200 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as JNJ.

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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.

 

 

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

 

 

Brazil R-109167, Colombia R-105712

 

 

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

 

 

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

São Paulo, Brazil

Job Description:

Lead Analyst, Data ProductSummary

The Lead Analyst, Data Product owns stakeholder relationships and the lifecycle of assigned MedTech Supply Chain data products, translating end-user needs into useful, governed data models and measurable business outcomes. Combining product judgment, data fluency, governance execution, and cross-functional leadership, this role prioritizes demand within domain direction, coordinates lifecycle readiness, and improves adoption, reuse, quality, service performance, and realized value.

Duties & Responsibilities
  • Discover and prioritize the business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
  • Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
  • Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining the roadmap, prioritized backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
  • Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
  • Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.
  • Coordinate delivery handoffs, resolve issues within the product team, and escalate consumer-impacting risks, dependencies, funding needs, policy questions, and cross-product trade-offs.
  • Prepare products for certification, marketplace publication, and consumer onboarding with complete documentation, support models, service-level agreements, approved metadata, and consumer guidance.
  • Drive stakeholder decisions and continuous improvement by representing products in governance forums; monitoring adoption, usability, realized value, reuse, quality, service performance, and feedback; prioritizing enhancements; and reporting progress, risks, performance, and outcomes.
Qualifications
  • 5+ years of experience in data product management, product management, business analysis, data and analytics delivery, or a related role, including leading complex data or analytics initiatives from discovery through delivery.
  • Strong product judgment across consumer needs, domain outcomes, and data product lifecycle management.
  • Ability to uncover requirements from business subject-matter experts, challenge assumptions, identify ambiguity, and ask probing questions.
  • Strong communication and translation skills across business and technical teams, with the ability to influence stakeholders and coordinate specialists in a matrixed environment without direct authority.
  • Understanding of requirements, source systems, data modeling, governance, data quality, integration, and data consumption.
  • Familiarity with enterprise data platforms, data marketplaces, data mesh or domain-oriented models, metadata, lineage, business glossaries, stewardship, and data-quality rules; experience with governance platforms such as Alation is an asset.
  • Experience supporting Supply Chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution, or order fulfilment.
  • Experience in MedTech, pharmaceutical, healthcare, or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.
Other
  • May require up to 10% domestic and/or international travel based on business needs.
  • Role is required to be fully onsite per 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 crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Coaching, Communication, Data Analysis, Database Management, Data Governance, Data Management, Data Privacy Standards, Data Quality, Data Security, Information Security Risk Management, Problem Solving, Report Writing
Source details

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Pay

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Location & working pattern

São Paulo, Brazil

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. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): Brazil R-109167, Colombia R-105712
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