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Johnson & Johnson

Senior Manager, Data Excellence

Johnson & Johnson

Senior Manager, Data Excellence overseeing data governance and analytics initiatives within Surgery Supply Chain at Johnson & Johnson. Leading teams to drive data quality and business insights.

Posted 5/29/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSenior💰 $122,000 - $212,750 per yearWebsite

Tech Stack

Tools & technologies
ERP

About the role

Key responsibilities & impact
  • Define and drive the enterprise data excellence strategy aligned with business priorities, digital roadmaps, and J&J standards.
  • Establish and govern data ownership, stewardship, and decision rights across domains (e.g., master data, transactional data, analytical datasets).
  • Lead adoption of common data standards, definitions, and policies to enable consistency and comparability across regions, franchises, and systems.
  • Own and drive data quality frameworks, metrics, and issue management processes to ensure reliable, audit‑ready, and compliant data.
  • Partner with Quality, IT, and Compliance teams to ensure alignment with GxP, SOX, privacy, and regulatory requirements.
  • Proactively identify systemic data risks and lead sustainable corrective and preventive actions.
  • Enable business teams with trusted data and insights by partnering closely with analytics, planning, finance, and operations functions.
  • Translate business needs into data and insight requirements, ensuring analytical outputs are actionable and decision‑relevant.
  • Champion data literacy and self‑service analytics adoption across the organization.
  • Serve as the data excellence lead for large‑scale transformation initiatives (e.g., ERP, S/4HANA, planning platforms, digital tools).
  • Ensure data readiness across design, build, testing, migration, and deployment phases.
  • Drive cross‑functional alignment across business, IT, system integrators, and deployment teams to achieve integrated, end‑to‑end solutions.
  • Design and evolve scalable data operating models, including global‑local ways of working and governance forums.
  • Lead, coach, and develop data excellence talent, fostering strong functional capabilities and a culture of accountability.
  • Influence without authority in a complex, matrixed organization.

Requirements

What you’ll need
  • Bachelor’s degree in Engineering, Information Systems, Supply Chain, Business, or related field.
  • 10+ years of progressive experience in data management, analytics, digital enablement, or business excellence within a complex enterprise environment.
  • 5+ years of People Management Experience
  • Proven leadership in data governance, data quality, or enterprise transformation initiatives.
  • Strong ability to operate across business and technology stakeholders in a matrixed organization.
  • Demonstrated experience influencing senior leaders and driving change without direct authority.
  • Experience with ERP and analytics ecosystems (e.g., SAP S/4HANA, planning systems, data platforms).
  • Exposure to regulated environments (MedTech, Pharma, Consumer).
  • Advanced degree or relevant certifications in data, analytics, or process excellence.
  • Travel on the Job: Up to 30% travel may be required. (Domestic / International)

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)).
  • 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
  • 10 days Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Hard Skills & Tools
data managementdata governancedata qualityanalyticsdigital enablemententerprise transformationdata standardsdata ownershipdata stewardshipdata operating models
Soft Skills
leadershipinfluence without authoritycross-functional alignmentcoachingdeveloping talentcommunicationproblem-solvingcollaborationchange managementaccountability
Certifications
advanced degree in dataadvanced degree in analyticsadvanced degree in process excellence