SQA Services, Inc.

• Develop Tools and Processes for Engineering Specific Programs such as Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP), Root Cause and Corrective Actions (RCCA), etc. • Work with Solutions Engineering and Business Development to understand the requirements outlined in the Statement of Work (SOW) to ensure compliance. • Assist in defining and documenting system requirements for current and future engineering programs • Work with Data Analyst to define metrics, tools and KPIs to show success of each program • Manage workload and provide guidance to on-site Engineers when problems arise from a technical standpoint. • Communicate and present work completed for each program to both internal team members and clients. • Work with clients to develop any changes or additions needed for the program or project to be successful. • Perform ad hoc analysis and deep dives to generate actionable insights and communicate to internal stakeholders. • Conduct reviews of reports or final deliverables to ensure that it meets the requirements laid out by the scope of work. • Conduct technical interviews for new engineers

• Pull, extract, and organize data from the company's central data repository/database on a recurring basis • Validate data for accuracy and flag/resolve discrepancies before publishing • Identify trends, patterns, and insights within the data to support business decision-making • Assist in defining and documenting system requirements for current and future inspection, audit, and engineering programs • Recommend programs to support data analysis and automation for scalability to new programs and commodities • Create tools for new programs to track performance of auditors, assessors, inspectors, etc… as needed • Partner on data infrastructure, visualization, and analytics roadmap initiatives • Perform ad hoc analysis and deep dives to generate actionable metrics and be able to communicate this to internal stakeholders. • Automate internal and external reporting while ensuring data quality and timeliness • Improve report performance and streamline data visualization using advanced modeling techniques • Maintain data accuracy, governance, and documentation; support validation processes

• PFMEA and PPAP reviews • Assess completeness and technical accuracy of: • Failure modes and **failure mechanisms** • Cause-effect relationships tied to process steps • Evaluate: • Severity, Occurrence, Detection rankings • Risk prioritization methodology (RPN or equivalent) • Challenge robustness of: • Preventive vs. detection controls • Verify alignment with: • Actual manufacturing process flow • Known risks identified during assessments (RCR, commodity review, FAI) • Ensure full linkage between PFMEA and Control Plan • Evaluate: • Control methods (error-proofing, SPC, inspection) • Reaction plans for out-of-spec (OOS) conditions • Confirm: • Coverage of critical characteristics • Adequacy of inspection frequency and methods • Review statistical capability studies (Cp, Cpk) • Validate: • Data integrity and collection methodology • Sample size and statistical relevance • Process stability (variation analysis) • Confirm readiness against thresholds (e.g., Cpk ≥ 1.33) • Develop structured engineering review reports including: • Gap assessment (Critical / Major / Minor) • Risk implications • Recommended corrective actions • Provide clear **DTS readiness recommendation**

• Review and transfer part information from TRIX sheets into associated STEPQ events • Perform daily surveillance and validation of TRIX sheets to ensure: - Data accuracy and completeness - Timely updates and submissions - Inspector adherence to established protocols • Support data consistency efforts across 25+ programs • Assist with process improvement initiatives to reduce duplicate data entry through MICCS integration and automation opportunities • Support event and workflow management activities across Inspection, Audit, and Engineering services, including: Creation and management of events/service requests, LTE management and tracking, monitoring and correcting event stages: Closure/Completion, In-Progress, Escalations • Updating and assigning associated requirements and tasks

• PFMEA and PPAP reviews • Assess completeness and technical accuracy of: • Failure modes and **failure mechanisms** • Cause-effect relationships tied to process steps • Evaluate: • Severity, Occurrence, Detection rankings • Risk prioritization methodology (RPN or equivalent) • Challenge robustness of: • Preventive vs. detection controls • Verify alignment with: • Actual manufacturing process flow • Known risks identified during assessments (RCR, commodity review, FAI) • Ensure full linkage between PFMEA and Control Plan • Evaluate: • Control methods (error-proofing, SPC, inspection) • Reaction plans for out-of-spec (OOS) conditions • Confirm: • Coverage of critical characteristics • Adequacy of inspection frequency and methods • Review statistical capability studies (Cp, Cpk) • Validate: • Data integrity and collection methodology • Sample size and statistical relevance • Process stability (variation analysis) • Confirm readiness against thresholds (e.g., Cpk ≥ 1.33) • Develop structured engineering review reports including: • Gap assessment (Critical / Major / Minor) • Risk implications • Recommended corrective actions • Provide clear **DTS readiness recommendation**