Manager - Data Quality and Automation

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 Med Tech, 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

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:

Data Analytics & Computational Sciences

Job Sub Function:

Multi-Family Data Analytics & Computational Sciences

Job Category:

People Leader

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job Description:

Johnson & Johnson is currently recruiting for a Manager - Data Quality and Automation to be based at Raritan, NJ.

About Med Tech

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at

About the Role

This role will own strategy, governance, and execution of data quality across J&J's global supply chain data ecosystem with key focus on forward-looking AI implementation and efficiency gains via automation.

The role will ensure that data powering supply chain processes is accurate, complete, and trustworthy, while championing modern, AI-enabled approaches that reduce manual effort and make high-quality data effortless to consume. This is a high-impact, cross-functional leadership role that directly enables better patient outcomes and operational excellence.

Key Responsibilities

* Define and lead the data quality strategy for supply chain data domains (materials, suppliers, inventory, orders, logistics, and master data).

* Establish data quality standards, metrics, and KPIs, and build dashboards to monitor data health across systems.

* Implement data quality controls - profiling, validation rules, cleansing, and remediation workflows - across the data lifecycle.

* Partner with data governance, data engineering, and business stakeholders to identify root causes of data issues and drive sustainable fixes.

* Manage data quality issue resolution, including triage, prioritization, and tracking to closure.

* Champion a culture of data ownership and accountability, working with data stewards and domain owners across the supply chain organization.

* Support strategic initiatives and ensure alignment between operational systems and analytics platforms.

* Drive continuous improvement through automation, AI implementation, and adoption of data quality best practices.

Qualifications

Required:

* Bachelor's degree in Information Systems, Computer Science, Supply Chain, Data Science, or a related field.

* 10+ years of experience in data management, data quality, data governance, or analytics, with at least 4 years in a leadership or managerial capacity.

* Proven experience defining and operationalizing data quality frameworks, metrics, and automated cleansing solutions.

* Demonstrated experience applying AI/ML or advanced automation to data quality or data management challenges.

* Strong knowledge of data quality tools (e.g., Informatica Data Quality, Collibra, Talend, SAP MDG, or similar).

* Proficiency with SQL and experience working with large, complex datasets.

* Track record of driving efficiency and process improvement in a data-intensive environment.

* Excellent stakeholder management, communication, and problem-solving skills.

Preferred:

* Experience in pharmaceutical, healthcare, medical device, or other regulated industries.

* Familiarity with SAP, ERP systems, and cloud data platforms (e.g., Azure, AWS, Snowflake, Databricks).

* Experience with AI-enabled…