Senior Data & Quality Engineer — Knowledge & Ops

Johnson Johnson; Raritan (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Analyst, Data & Quality Engineering to advance Knowledge Management, Operational Intelligence, and Continuous Service Improvement within the MedTech R&D portfolio. You will enable data-driven decisions and scalable content foundations across global support teams.

The role emphasizes governance, KPI tracking, and collaboration with AI initiatives to enhance service reliability and user experience.

Responsibilities

• Own and mature R&D Knowledge Management practices, governance, and standards.
• Receive knowledge deliverables from Service Transition activities and ensure operational readiness for support teams.
• Manage the knowledge portfolio across supported R&D applications and services.
• Ensure knowledge assets are maintained, validated, and effectively utilised across Incident Management and Service Request Management processes.
• Be accountable for Knowledge Management KPIs, adoption metrics, content health, process compliance, and governance adherence.
• Establish knowledge lifecycle management processes and content quality standards.
• Sponsor and drive continuous Knowledge Management improvement initiatives.
• Identify and remediate knowledge gaps impacting support effectiveness and user self-service.
• Promote Knowledge Management best practices across support organizations and vendor teams.
• Coach vendor resources using a coach-the-coach model to improve knowledge quality and usage.
• Conduct knowledge article quality reviews and remediation activities as required.
• Represent Application Maintenance and R&D Support within Knowledge Management councils and governance forums.
• Partner with AI, Copilot, and Agent initiatives to ensure knowledge repositories are trusted, structured, and optimized for AI consumption.

Job description

Johnson & Johnson is seeking a Senior Analyst, Data & Quality Engineering to advance Knowledge Management, Operational Intelligence, and Continuous Service Improvement within the MedTech R&D portfolio. You will enable data-driven decisions and scalable content foundations across global support teams.

The role emphasizes governance, KPI tracking, and collaboration with AI initiatives to enhance service reliability and user experience.