Manager – Data Quality and Automation
Johnson & Johnson•New Brunswick, NJ
•Onsite
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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).
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.
Benefits
- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year (or 48/56 hours depending on state)
- 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
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Manager
