Tech Professional, Quality Systems, AI

Johnson & Johnson

Confirmed live today High trust
Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Raynham, MAWest Chester, PANew Brunswick, NJPalm Beach Gardens, FLWarsaw, IN
Salary
$94,000–$170,000 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 18, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $132k
$78k most similar roles pay here $241k

This role pays less than 88% of similar roles. Most pay $153,391–$217,725 — the shaded band above. At the midpoint, this role pays about $132k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 63 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 54 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Tech Professional, Quality Systems, AI

Tech Professional, Quality Systems, AI serves as a seasoned individual contributor within the Supply Chain Technology function to support and modernize the enterprise quality systems landscape. This role involves providing day-to-day technical support for validated platforms including complaint handling, CAPA, nonconformance, document management, training, and audit systems. The position focuses on identifying and delivering AI and automation opportunities, such as automated triage, adverse event detection, and intelligent search to improve data insight and reduce manual effort. Key responsibilities include performing computer system validation, analyzing quality data for trends, and building performance dashboards. Required skills include experience with GxP, 21 CFR Part 11, and ALCOA+ standards, along with proficiency in SQL, Python, Power BI, or Tableau. The role operates within a regulated MedTech environment to ensure systems remain compliant and reliable during complex technical transitions.

What you'll do

  • Provide day-to-day technical support and troubleshooting for enterprise quality systems including CAPA, complaints, and document management.
  • Identify and implement AI and automation use cases to improve quality data insights and reduce manual effort.
  • Partner with Data Science teams to define requirements and operationalize AI-enabled capabilities within quality workflows.
  • Ensure all AI and automated solutions comply with GxP, 21 CFR Part 11, and ALCOA+ data integrity standards.
  • Perform computer system validation activities including requirement documentation, test script execution, and change control.
  • Analyze quality system data to identify trends and provide recommendations for process improvements.
  • Build and maintain dashboards and metrics to provide leadership with visibility into system performance and compliance.
  • Assess the impact of technology changes, such as platform migrations or integrations, on existing quality systems.

What we're looking for

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Life Sciences, Quality, or a related discipline.
  • Master's degree in Information Systems, Data Science, or Engineering (preferred).
  • 6 years of experience supporting enterprise quality systems, regulated business applications, or quality technology in manufacturing or MedTech.
  • Hands-on experience with enterprise quality management systems such as Veeva Vault QMS, TrackWise, ETQ, or Sparta.
  • Working knowledge of GxP, 21 CFR Part 11, computer system validation, and data integrity (ALCOA+) requirements.
  • Demonstrated experience identifying and delivering automation or AI-enabled improvements within business or quality processes.
  • Strong SQL and data analysis skills to profile and interpret quality data across systems.
  • Lean/Six Sigma, ASQ CQE/CQA, ITIL v4 Foundation, or relevant platform certifications (preferred).

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