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Johnson & Johnson

Manager – Data Quality and Automation

Johnson & Johnson

Data Quality Manager managing data quality strategy and governance for Johnson & Johnson's global supply chain. Responsible for AI-enabled approaches and operational excellence in data management.

Posted 6/17/2026full-timeRaritan • New Jersey • 🇺🇸 United StatesSeniorLead💰 $117,000 - $201,250 per yearWebsite

Tech Stack

Tools & technologies
InformaticaSQL

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.

Benefits

Comp & perks
  • 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)).
  • This position is eligible to participate in the Company’s long-term incentive program.
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data quality strategydata quality standardsdata quality metricsdata quality KPIsdata profilingdata validation rulesdata cleansingdata remediation workflowsSQLAI/ML
Soft Skills
stakeholder managementcommunicationproblem-solvingleadershipdata ownershipaccountabilitycontinuous improvementcollaboration