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Manager – Data Quality, Automation
Johnson & JohnsonManager of Data Quality and Automation at Johnson & Johnson overseeing global supply chain data quality initiatives. Driving efficiency through AI and automation in a leadership role.
Posted 6/17/2026full-timeRaritan • New Jersey • 🇺🇸 United StatesSeniorLead💰 $117,000 - $201,250 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudERPInformaticaSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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 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).
Benefits
Comp & perks- Time off benefits: Vacation – 120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado – 48 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
- 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
- Employees are eligible to participate in the Company’s long-term incentive program.
ATS Keywords
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Hard Skills & Tools
data managementdata qualitydata governanceanalyticsdata quality frameworksautomated cleansing solutionsAImachine learningSQLdata profiling
Soft Skills
stakeholder managementcommunicationproblem-solvingleadershipdata ownershipaccountabilitycontinuous improvementprocess improvementcollaborationstrategic alignment
Certifications
CDMPSix Sigmadata quality credentialsdata governance credentials