Data Product Lead

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: Technology Product & Platform Management Job Sub Function: Technical Product Management Job Category: Scientific/Technology All Job Posting Locations: São José dos Campos, São Paulo, Brazil Job Description:

Summary We are searching for the best talent for a Data Product Lead to be located in New Brunswick, NJ and São José dos Campos. 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): New Brunswick, NJ and São José dos Campos, Brazil.   New Brunswick, NJ - Requisition Number: R-079988   Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission. The IT Lead – Technical Product Owner, Data Enablement is an experienced individual contributor responsible for building, operating, and continuously improving core data platform and data quality capabilities used across Corporate Business Technology (CBT) . This role supports enterprise analytics, reporting, and AI use cases by helping ensure data platforms are reliable, secure, cost‑aware, and easy to use. The role works closely with business stakeholders, engineering teams, platform partners, and governance leaders to enable teams to produce high‑quality data products with confidence. This position focuses on hands‑on delivery, platform reliability, and practical enablement . Success is measured by platform adoption, consistency of standards, and improved trust in data.

Data Platform Enablement Support the technical ownership and day‑to‑day operation of enterprise data platforms , including the Databricks Intelligence Platform. Implement and maintain platform standards, patterns, and reusable components for data ingestion, transformation, and consumption. Apply and support medallion (Bronze, Silver, Gold) patterns , including guidance for schema design, performance, and data lifecycle management. Partner with infrastructure and platform teams to ensure environments are stable, secure, and ready for production use. Data Quality Products & Trust Enablement Contribute to the implementation and support of enterprise data quality tools and frameworks . Help design and apply data quality checks such as validation rules, completeness checks, freshness monitoring, and reconciliation. Work with data owners and governance partners to translate quality requirements into practical technical solutions . Support transparency into data quality signals and promote consistent use of quality checks within pipelines. Pipeline Implementation & Support Build and support batch and streaming data pipelines that align to platform and quality standards. Assist teams in adopting near‑real‑time and event‑driven patterns where appropriate. Ensure pipelines include common capabilities for monitoring, failure handling, and data validation. Reliability, Operations, and Cost Awareness Partner with