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**Job Function: **
Technology Product & Platform Management
**Job Sub Function: **
Technical Product Management
Job Category:
Scientific/Technology
All Job Posting Locations:
New Brunswick, New Jersey, United States of America
Job Description:
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, 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.
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 https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
Analytical Reasoning, Coaching, Collaborating, Communication, Customer Alignment, Human-Computer Interaction (HCI), Innovation, Product Design, Product Development, Product Development Lifecycle, Product Management, Product Strategies, Software Development Life Cycle (SDLC), Software Development Management, Technical Credibility, Technologically Savvy
The anticipated base pay range for this position is :
$94,000 - $151,800
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits