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Vp Machine Learning Qa Jobs (NOW HIRING)

Trane Technologies plc

VP, Enterprise Quality

Davidson, NC · On-site

$166K - $214K/yr

... and assurance, supplier quality, APQP/PPAP, New Product Development (Design For Quality), early ... Expand AI-enabled quality tools and machine-learning models to support early defect detection and ...

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How much do vp machine learning qa jobs pay per year?

As of Jul 10, 2026, the average yearly pay for vp machine learning qa in the United States is $114,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $143,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Qa jobs? The most popular types of Machine Learning Qa jobs are:
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Infographic showing various Vp Machine Learning Qa job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $114,728 per year, or $55.2 per hour.

Vice President of Quality Assurance

Texas State Library and Archives Commision

New Orleans, LA • On-site

Full-time

Re-posted 7 days ago

Job description

Need BRC or SQF experience.
Experienced in Quality Assurance and Quality Control
Will consider a Director ready for a step up
Highly prefer someone mid-career and buttoned up
The Vice President of Quality Assurance will be responsible for developing, deploying, and ensuring adherence to Quality Standards for manufacturing and products. This includes tracking, analytics and process improvements of internal manufacturing quality, distribution center inspections and external quality. This role will also lead Continuous improvement efforts, including transition from QC to QA.
Quality Assurance interacts regularly with Operations, Sales/Customer Service and external customers
About the Job:
Responsible for establishing, implementing, and directing quality assurance efforts to ensure that requirements for processing components and other materials into finished goods and products conform to quality standards
Through managers and professional staff, establishes and maintains quality assurance standards, procedures, and controls with internal and contract manufacturing.
Works directly with manufacturing to implement and manage quality assurance activities and to enforce requirements as specified by raw materials, ingredients, products and package specifications, and regulatory agencies.
Works with research and development during new product start-ups and establishes checkpoints for testing new products, new parts and processes Initiates corrective action for procedural product or process deficiencies
Develop and deploy the quality system and appropriate metrics including criteria and standards in order to measure and reduce supplier quality issues, internal rework due to quality problems and to improve customer satisfaction levels.
Manage the material review board meeting process to maintain quality assurance, optimize usage of raw materials and reduce work-in-process and improves First Time Right Lead factory continuous improvement efforts, hoshin activities and global quality assurance processes to meet organizational goals and strategies
Monitor and analyze plant internal auditing processes to drive quality assurance in manufacturing operations
Manage departmental financial and resource budget
Develop training in quality, problem solving and continuous improvement activities to raise the level of quality systems competence in manufacturing operations
Other duties as assigned
What You Need:
  • 7+ years of Quality Management experience
  • 10+ years of experience in lean manufacturing, specifically lean operating system deployment
  • Experience in plant transformation and change management
  • Experience in Food Manufacturing required

Expert knowledge of Six Sigma quality concepts and application of principles such as Design of Experiments, Failure Modes and Effects Analysis, Analysis of Variances, Reliability and Repeatability, process characterization and use of statistical software
  • Familiar with Lean Manufacturing concepts and application of principles such as poka yoke, 5S, Kanban, value stream mapping, and work element analysis
  • Demonstrated presentation skills, business acumen and conflict resolution experience
  • Able to work effectively in a matrix organization to drive quality initiatives, balanced with owning and driving plant specific priorities
  • A self-starter, action oriented, able to lead others, organized and detail oriented, able to work in a team environment, able to lead change, and constantly drive to improve processes
  • Bachelor's degree in Business, Engineering, Sciences or related field required
  • Master's degree in Quality Systems, Business, Engineering preferred
  • Certifications in Lean, Six Sigma and Project Management desired

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