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Position Summary

We are searching for the best talent for a Data Product Lead to be located in New Brunswick NJ

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 costaware and easy to use. The role works closely with business stakeholders engineering teams platform partners and governance leaders to enable teams to produce highquality data products with confidence.

This position focuses on handson 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 daytoday 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 nearrealtime and eventdriven 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 costaware 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 infrastructureascode 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

• Bachelors degree in computer science Engineering Information Systems or related field
• 57 years of experience in data engineering analytics platforms or data infrastructure roles.
• 3 Years of handson 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 rulebased validation and monitoring.
• Working knowledge of CI/CD infrastructureascode 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.

• Programming & Tools: Familiarity with Python SQL Spark and scripting for automation and orchestration.

• Experience working in cloud environments such as Azure and/or AWS.

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 internal employees contact AskGS to be directed to your accommodation resource.

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