Quality Analytics & AI Lead – BI for Medical Devices

Edwards

Irvine (CA)

On-site

USD 121,000 - 171,000

Full time

5 days ago
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Benefits offered by this job

Competitive benefits

Job summary

Edwards Lifesciences is seeking a Data Analytics Quality Manager to lead Quality System improvements, analytics insights, and AI-enabled solutions. You will drive cross-functional projects, CAPA, and data-driven decision making while ensuring regulatory compliance and operational excellence.

The role requires 8+ years in quality/manufacturing in medical devices (or Edwards criteria) and expertise in BI tools, databases, and programming languages.

Qualifications

  • Bachelor's Degree or Equivalent in related field; 8+ years quality/manufacturing in medical device industry or Edwards criteria
  • Master's Degree or Equivalent in related field; 6+ years quality/manufacturing in medical device industry or Edwards criteria

Responsibilities

  • Identify and lead business process improvements for Quality Systems, reviewing and approving changes to procedures
  • Lead moderately complex projects from inception through completion with milestones and resources
  • Manage all phases of small to medium quality systems (Training, CAPA, NCR, Supplier, FCA, PRA)
  • Review and approve changes to documentation related to Quality Systems and assess effectiveness
  • Drive root cause analyses, implement corrective actions, and monitor results with cross-functional SMEs
  • Lead AI initiatives and deploy AI Agents to support operations
  • Prepare data and documents for integrity before internal/external audits
  • Provide technical direction to junior staff
  • Align with Leadership on incidental duties

Skills

Power BI
Tableau
Python
SQL

Education

Bachelor's Degree
Master's Degree

Tools

Snowflake
Databricks
JDE
MES
EQMS
LMS

Job description

Edwards Lifesciences is seeking a Data Analytics Quality Manager to lead Quality System improvements, analytics insights, and AI-enabled solutions. You will drive cross-functional projects, CAPA, and data-driven decision making while ensuring regulatory compliance and operational excellence.

The role requires 8+ years in quality/manufacturing in medical devices (or Edwards criteria) and expertise in BI tools, databases, and programming languages.

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