Lead Analyst, Data Product

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.

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 Product
Summary

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 ow...