Supplier Digital Quality Engineer

Jobtailor; Missouri; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor seeks a Senior Supplier Quality Engineer to lead onboarding of suppliers for Digital Quality initiatives and manage data pipelines across APQP, PFMEA, and Control Plans. You will validate data completeness, ensure traceability, and coordinate with product engineering, data engineering, and supply chain teams to drive containment and corrective actions.

The role requires a bachelor’s degree and 5 years in supplier quality, with strong communication and project-management skills to work

Qualifications

• Bachelor’s degree, preferred in engineering, computer science, data analytics, or a related technical field.
• 5 years experience in quality engineering or supplier quality with exposure to manufacturing, process, industrial, or operational quality.
• Working knowledge of APQP, PPAP, PFMEA, Control Plans, dimensional results, 8D problem solving, root-cause analysis, and corrective action verification
• Ability to interpret engineering drawings and revisions
• Ability to connect part characteristics across quality documents
• Ability to assess data traceability or schema conformance
• Ability to analyze trends and process signals
• Ability to distinguish data-quality issues from true product risk
• Ability to translate findings into practical supplier actions
• Strong communication, facilitation, and project-management skills
• Ability to work effectively with suppliers and global cross-functional teams
• GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, or J-1 support
• Must report to the specified location at least 3 times a week, or at another frequency dictated by the manager
• No relocation benefits; relocation costs are the candidate’s responsibility

Responsibilities

• Lead supplier onboarding and readiness for Supplier Digital Quality, including Advanced Product Quality Planning
• Connect released part prints, PFMEAs, Control Plans, dimensional results, and digital measurements using consistent feature numbering and revision traceability
• Enable digital capture of KCDS measurements and required Control Plan checks
• Establish approved supplier-to-General Motors submission methods, such as Sterling Mailbox or APIs
• Validate data completeness, accuracy, timeliness, schema conformance, and traceability
• Identify and resolve supplier data-quality, formatting, ingestion, and latency issues
• Own supplier data pipelines through onboarding, validation, issue resolution, production monitoring, and sustainment
• Support dashboards, process analytics, and risk-based alarm management
• Help Supplier Quality Engineers distinguish data-quality issues from meaningful process or product risk
• Drive appropriate containment, corrective action, and closure
• Coordinate with suppliers, Supplier Quality Engineers, Product Engineering, Data Engineering, SDQ Operations, purchasing and supply chain, and plant teams across APQP, PPAP, Run at Rate, Start of Regular Production, and current production milestones

Skills

Quality Engineering

Data Analytics

Root-Cause Analysis

8D Problem Solving

Control Plans

Dimensional Results Analysis

Schema Conformance Assessment

Trend Analysis

Corrective Action Verification

Engineering Drawing Interpretation

Education

Bachelor’s degree

Tools

Sterling Mailbox

APIs

Dashboards

Process Analytics

Risk-Based Alarm Management

Job description

• Lead supplier onboarding and readiness for Supplier Digital Quality, including Advanced Product Quality Planning
• Connect released part prints, PFMEAs, Control Plans, dimensional results, and digital measurements using consistent feature numbering and revision traceability
• Enable digital capture of KCDS measurements and required Control Plan checks
• Establish approved supplier-to-General Motors submission methods, such as Sterling Mailbox or APIs
• Validate data completeness, accuracy, timeliness, schema conformance, and traceability
• Identify and resolve supplier data-quality, formatting, ingestion, and latency issues
• Own supplier data pipelines through onboarding, validation, issue resolution, production monitoring, and sustainment
• Support dashboards, process analytics, and risk-based alarm management
• Help Supplier Quality Engineers distinguish data-quality issues from meaningful process or product risk
• Drive appropriate containment, corrective action, and closure
• Coordinate with suppliers, Supplier Quality Engineers, Product Engineering, Data Engineering, SDQ Operations, purchasing and supply chain, and plant teams across APQP, PPAP, Run at Rate, Start of Regular Production, and current production milestones

Requirements

• Bachelor’s degree, preferred in engineering, computer science, data analytics, or a related technical field
• 5 years experience in quality engineering or supplier quality, with exposure to manufacturing, process, industrial, or operational quality
• Working knowledge of APQP, PPAP, PFMEA, Control Plans, dimensional results, 8D problem solving, root-cause analysis, and corrective action verification
• Ability to interpret engineering drawings and revisions
• Ability to connect part characteristics across quality documents
• Ability to assess data traceability or schema conformance
• Ability to analyze trends and process signals
• Ability to distinguish data-quality issues from true product risk
• Ability to translate findings into practical supplier actions
• Strong communication, facilitation, and project-management skills
• Ability to work effectively with suppliers and global cross-functional teams
• GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, or J-1 support
• Must report to the specified location at least 3 times a week, or at another frequency dictated by the manager
• No relocation benefits; relocation costs are the candidate’s responsibility

Core Competencies

Demonstrates expertise in Supplier Quality Engineering, focusing on Advanced Product Quality Planning (APQP), Process Failure Mode and Effects Analysis (PFMEA), and data validation. Proficient in managing supplier data pipelines and ensuring data quality through effective communication and collaboration with cross-functional teams.

Highest-signal resume keywords

• Supplier Quality Engineering
• Advanced Product Quality Planning (APQP)
• Process Failure Mode and Effects Analysis (PFMEA)
• Data Validation and Traceability
• Project Management

Hard Skills

• Quality Engineering
• Data Analytics
• Root-Cause Analysis
• 8D Problem Solving
• Control Plans
• Dimensional Results Analysis
• Schema Conformance Assessment
• Trend Analysis
• Corrective Action Verification
• Engineering Drawing Interpretation

Soft Skills

• Strong Communication
• Facilitation Skills
• Project Management Skills
• Collaboration
• Problem-Solving

Industry Keywords

• Supplier Onboarding
• Manufacturing Quality
• Operational Quality
• Data Quality Issues
• Cross-Functional Teams

Tools & Technologies

• Sterling Mailbox
• APIs
• Dashboards
• Process Analytics
• Risk-Based Alarm Management