Experienced Engineer, Data & Quality

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Reliability Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Raritan New Jersey United States of America

Job Description:

We are searching for the best talent for a Experienced Engineer Data & Quality to be located in Raritan NJ

Position Summary

The Senior Analyst Data & Quality Engineering is responsible for advancing Knowledge Management Operational Intelligence Service Reliability and Continuous Service Improvement across the MedTech R&D application portfolio.

This role serves as a critical cross-functional enabler by ensuring trusted knowledge assets actionable operational insights high-quality configuration data and data-driven improvement initiatives that enhance service performance and user experience.

The position enables future-state R&D support models through scalable Knowledge Management practices Operational Intelligence capabilities AI-ready content foundations and continuous improvement disciplines. The role supports improved decision-making accelerated issue resolution increased self-service adoption and more efficient support operations across the R&D landscape.

Key Responsibilities

Knowledge Management Leadership & Governance

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.

Operational Intelligence & Analytics

Develop and maintain operational intelligence capabilities across the R&D application portfolio.

Create leadership dashboards reporting frameworks scorecards and performance insights.

Analyze incident request operational application and support data to identify trends and opportunities.

Translate operational data into actionable recommendations and business decisions.

Support leadership decision-making through data-driven insights and reporting.

Provide portfolio-level visibility into service quality operational performance and improvement opportunities.

Identify opportunities for operational optimization automation and workload reduction.

Support forecasting capacity planning and demand analysis activities.

Continuous Service Improvement & Operational Excellence

Monitor and measure the quality effectiveness and efficiency of R&D support operations using defined KPIs and service management metrics.

Benchmark operational performance and identify opportunities for improvement.

Analyze incident request and support trends to identify chronic issues and systemic risks.

Identify ticket patterns that should trigger Problem Management investigations and chronic problem processes.

Evaluate ticket reassignment trends service bottlenecks and support inefficiencies.

Develop recommendations that improve service quality customer experience and operational efficiency.

Define business requirements for automation opportunities and process improvements in partnership with Product Reliability Engineering (PRE) and support teams.

Ensure service demand and ticket volumes remain aligned with consumption-based operating model assumptions and budget expectations.

Drive continuous improvement initiatives across Service Maintenance & Operations teams.

Engage with Service Maintenance & Operations managers and leads to share best practices and standardize processes.

Support operational maturity initiatives across monitoring observability support effectiveness and reliability practices.

Service Reliability & Quality Engineering

Drive service quality measurement service health visibility and continuous reliability improvements across the R&D portfolio.

Partner with Product Teams Operations Teams and PRE teams to improve service reliability and support outcomes.

Support observability event management and service health monitoring initiatives.

Identify recurring issues and reliability risks through data analysis and trend review.

Support Problem Management processes through root cause analysis and operational insights.

Contribute to application lifecycle quality and operational readiness activities.

Establish and monitor service quality standards and performance indicators.

Support continuous improvement efforts that increase stability reliability and customer satisfaction.

Application Portfolio & Data Governance

Maintain oversight of the R&D application portfolio under support.

Ensure CMDB accuracy completeness and governance for supported applications and services.

Validate application ownership metadata relationships and service mappings.

Partner with service owners and support teams to improve configuration data quality.

Leverage CMDB and operational data to improve reporting service insights and support effectiveness.

AI & Digital Enablement

Serve as a key enabler of AI-driven support experiences and self-service transformation.

Ensure knowledge assets support R&D AI Copilot and Agent strategies.

Partner with digital transformation teams to identify opportunities for AI-enabled operational improvements.

Support deployment of operational intelligence capabilities that improve decision quality and service outcomes.

Promote trusted data and knowledge foundations required for scalable AI adoption.

Success Measures

Outcome area

Measures of success

Knowledge Management

Knowledge quality and completeness
Knowledge article utilization
Knowledge governance compliance
Self-service adoption rates
Support readiness metrics

Operational Intelligence

Leadership adoption of dashboards and insights
Data quality and reporting effectiveness
Identification and execution of improvement opportunities
Increased visibility into operational performance

Continuous Improvement

Reduction in recurring issues
Problem Management effectiveness
Automation opportunities identified and implemented
Operational efficiency improvements

Service Quality & Reliability

Service health visibility
Reliability and stability improvements
Faster issue identification and resolution
Improved customer experience metrics

AI Readiness

AI-ready knowledge coverage
Agent effectiveness and adoption
Improved self-service outcomes
Reduced dependency on manual support channels

Preferred Qualifications

Bachelors degree in Information Technology Engineering Data Analytics Business or a related discipline.

Experience in Knowledge Management Service Management Operational Intelligence Operational Excellence or Application Support.

Strong analytical and data interpretation skills.

Experience developing dashboards reporting frameworks and operational insights.

Experience with ServiceNow CMDB governance Knowledge Management and ITSM processes.

Knowledge of Problem Management Continuous Improvement and Service Reliability practices.

Experience working across complex enterprise application portfolios.

Ability to influence and lead initiatives across multiple teams without direct authority.

Strong communication stakeholder management and organizational skills.

#JNJTECH

#LI-Hybrid

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

Analytical Reasoning Data Savvy Green Manufacturing Human-Computer Interaction (HCI) Mentorship Process Optimization Product Knowledge Product Reliability Quality Processes Root Cause Analysis (RCA) Self-Awareness Six Sigma Software Development Management Software Reliability Engineering Technologically Savvy Time Management

The anticipated base pay range for this position is :

$79000 - $127075

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire Employees are eligible for the following time off benefits: Vacation 120 hours per calendar year Sick time - 40 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 Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. Experience:

Senior IC