Senior Data & Quality Engineer: Ops Intelligence & KM

jj; Raritan (NJ); Hybrid; USD 79,000 - 127,000; Full time

Job summary

Johnson & Johnson in Raritan, NJ is seeking an Experienced Engineer, Data & Quality to advance knowledge management, operational intelligence, and continuous service improvement across the MedTech R&D portfolio.

You will partner with cross‑functional teams to drive analytics, governance, and reliability initiatives, delivering actionable insights and scalable data foundations for AI‑driven support and self‑service outcomes.

Qualifications

• Bachelor's degree in Information Technology, Engineering, Data Analytics, Business, or a related discipline.
• Experience in Knowledge Management, Service Management, Operational Intelligence, or Application Support.
• Strong analytical and data interpretation skills.
• Experience developing dashboards, reporting frameworks, and operational insights.

Responsibilities

• Lead Knowledge Management governance, standards, and KPIs across the R&D portfolio.
• Build and maintain operational intelligence capabilities and dashboards.
• Analyze incident, request, and support data to derive actionable recommendations.
• Support leadership decision-making with data-driven insights and reporting.
• Identify opportunities for automation and continuous improvement across support operations.

Skills

Analytical Reasoning

Data Savvy

Green Manufacturing

Human-Computer Interaction

Mentorship

Process Optimization

Product Knowledge

Product Reliability

Quality Processes

Root Cause Analysis

Self-Awareness

Six Sigma

Software Development Management

Software Reliability Engineering

Technologically Savvy

Time Management

Education

Bachelor's degree in Information Technology, Engineering, Data Analytics, Business, or a related discipline

Tools

ServiceNow

CMDB governance

Knowledge Management

ITSM processes

Job description

Johnson & Johnson in Raritan, NJ is seeking an Experienced Engineer, Data & Quality to advance knowledge management, operational intelligence, and continuous service improvement across the MedTech R&D portfolio.

You will partner with cross‑functional teams to drive analytics, governance, and reliability initiatives, delivering actionable insights and scalable data foundations for AI‑driven support and self‑service outcomes.