Senior Cloud & AI Quality Assurance Lead

Patterson Companies

United States

On-site

USD 140,000 - 190,000

Full time

2 days ago

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Job summary

Patterson Companies in the United States is seeking a Senior Manager, IT Quality Assurance to lead the software quality assurance function, shape quality strategies, and drive testing and validation across product, cloud, integration, and AI capabilities. This role leads teams and influences enterprise quality practices to support future product, cloud, integration, and AI capabilities.

You will lead teams, collaborate with Engineering, Product, and other cross-functional partners to elevate

Qualifications

Bachelor's degree in IT, CS, software engineering, or related field.
10 years of software quality assurance, software testing, or quality engineering experience.
5 years of leadership or people management experience.
Experience supporting QA for cloud-based applications and AI-enabled solutions.
Experience with enterprise quality assurance programs within complex technology environments (preferred).

Responsibilities

Lead software quality assurance, testing, and validation strategies ensuring software and technology solutions meet business requirements, quality standards, and end-user expectations.
Develop and oversee quality strategies and risk-based testing approaches aligned with business objectives, ensuring new software solutions meet functional requirements, technical specifications, compliance standards, and integration expectations across the development lifecycle.
Oversee user acceptance testing, alpha testing, beta testing, and defect resolution activities to ensure testing is completed and supports production readiness.
Lead quality oversight for software releases by providing visibility into testing progress, quality metrics, risks, defects, and areas requiring remediation to support informed release decisions.
Drive the adoption of test automation, modern quality engineering practices, and shared accountability for quality to improve testing effectiveness and efficiency.
Define and implement appropriate quality assurance and validation approaches for new technologies and AI-enabled capabilities while balancing risk, regulatory, and business requirements.
Ensure quality assurance processes and testing activities comply with organizational standards, applicable regulations, and recognized quality frameworks, including documentation and controls.
Partner with Engineering, Product, and other cross-functional teams to identify risks, establish priorities, communicate progress, and improve product quality.
Analyze application documentation, technical specifications, and vendor solutions to assess functionality and provide quality-focused recommendations; drive vendor contract and sourcing administration.
Establish and integrate quality metrics to understand trends, measure effectiveness, and identify opportunities for improvement.
Comply with Company and department policies and standards; perform other duties as assigned.