Manager – Data Quality and Automation

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 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.

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Johnson & Johnson is currently recruiting for a Manager Data Quality and Automation to be based at Raritan NJ or Markham ON Canada.

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):

Canada - Requisition Number: R-083200

About MedTech

Fueled by innovation at the intersection of biology and technology were 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 the Role

This role will own strategy governance and execution of data quality across J&Js 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:

• Bachelors 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 data quality or data observability platforms.
• Knowledge of data governance frameworks (e.g. DAMA-DMBOK).
• Relevant certifications (CDMP Six Sigma or data quality/governance credentials).

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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Manager