Data Product Lead

Johnson & Johnson

São José dos Campos

Híbrido

BRL 619 000 - 825 000

Tempo integral

Há 12 dias

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Resumo da oferta

Johnson & Johnson seeks a Data Product Lead to own the core data platform and enablement across our CBT (Corporate Business Technology) landscape. Located in multiple locations including New Brunswick, NJ and São José dos Campos, you will deliver reliable data products, enforce standards, and partner with governance and platform teams to scale data usage.

You will focus on hands-on delivery, platform reliability, and practical enablement, measuring success by adoption, standardization, and trust

Qualificações

Bachelor’s degree in computer science, engineering, information systems, or related field.
5–7+ years of experience in data engineering, analytics platforms, or data infrastructure roles.
3+ years of hands-on experience with modern data platforms or lakehouse tech (Databricks or similar).
Experience implementing data ingestion, transformation, and validation in production systems.
Familiarity with data quality concepts, rule-based validation, and monitoring.
Knowledge of CI/CD, infrastructure-as-code, and secure engineering practices.
Strong written and verbal communication; ability to collaborate across teams.

Responsabilidades

Data Platform Enablement: own operation of enterprise data platforms, including the Databricks Intelligence Platform.
Develop and maintain platform standards, patterns, and reusable components for ingestion, transformation, and consumption.
Apply medallion (Bronze–Gold) patterns and guide schema design, performance, and lifecycle management.
Data Quality: implement enterprise data quality tools and frameworks; design quality checks and monitoring.
Pipeline Implementation: build batch and streaming data pipelines with monitoring and validation.
Reliability & Security: partner with services to ensure platform reliability, cost awareness, and secure engineering practices.
Collaboration & Improvement: work with engineers and product partners to improve usability and developer experience.

Conhecimentos

Data engineering

Databricks

Data quality

CI/CD

Cloud platforms

Stakeholder comms

Collaboration

Formação académica

Bachelor's degree

Ferramentas

Databricks

Python

SQL

Spark

Descrição da oferta de emprego

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:

Position 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.

Key Responsibilities

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 Technology Services to support platform reliability, monitoring, and incident response.
Contribute to operational dashboards, alerts, and basic runbooks.
Help teams understand and apply cost‑aware usage patterns for compute, storage, and data movement.
Assist with solving performance, stability, and data issues.

Engineering Practices & Security

Follow and support sound engineering practices, including version control, CI/CD, testing, and infrastructure‑as‑code where applicable.
Ensure platform implementations align with security, privacy, and access control requirements.
Support audit‑ability and traceability through logging, metadata, and lineage capture.

Collaboration & Continuous Improvement

Work closely with engineers, platform managers, and product partners to deliver platform improvements.
Translate platform guidance into clear technical steps and examples.
Share findings, patterns, and documentation to help teams adopt platform capabilities more easily.
Actively look for ways to improve platform usability, reliability, and developer experience.

Required Qualifications

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
5–7+ years of experience in data engineering, analytics platforms, or data infrastructure roles.
3+ Years of hands‑on experience working with modern data platforms or Lakehouse technologies (such as Databricks or similar).
Experience implementing data ingestion, transformation, and validation in production systems.
Familiarity with data quality concepts and tools, including rule‑based validation and monitoring.
Working knowledge of CI/CD, infrastructure‑as‑code, and secure engineering practices.
Ability to collaborate effectively across teams.
Clear written and verbal communication skills.

Preferred Qualifications

Experience supporting or operating enterprise data quality platforms.
Exposure to data catalog, metadata, or lineage tools.
Experience modernizing or supporting migration from legacy ETL or data warehouse tools.

Role Characteristics

Individual contributor role
No direct people management responsibilities
Focused on technical delivery, enablement, and product ownership
Works under general direction with opportunities to grow scope and expertise

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.

#JNJTECH

#LI-Hybrid

Required Skills:

Preferred Skills:

Agile Product Development, Analytical Reasoning, Coaching, Collaboration, Competitive Landscape Analysis, Critical Thinking, Customer Alignment, Demand Forecasting, Human-Computer Interaction (HCI), Organizing, Product Development, Product Improvements, Product Strategies, Requirements Analysis, Research and Development, Software Development Life Cycle (SDLC), Software Development Management, Stakeholder Management, Technical Credibility, Technical Writing, Technologically Savvy