Regression, Automation and AI Innovation Governance Lead
AceStack LLC
Job Title : Regression, Automation and AI Innovation Governance Lead
Location : Rosemead, CA (Onsite)
Fulltime Must Have Technical/Functional Skills
• 5-8 years of overall experience in test automation, regression testing, or quality engineering, with at least 2-3 years in an enterprise governance, architect, or standards role
• Experienced in working in a TCOE environment
• Proven experience defining and enforcing enterprise wide regression and automation strategies ,frameworks across multiple applications, portfolios, or vendors
• Prior hands on automation background earlier in career, providing credibility to govern standards and challenge delivery teams (execution experience required historically, not in current role)
• Experience operating in large, distributed Agile and hybrid delivery environments
• Exposure to AI assisted testing or intelligent automation initiatives, including governance of usage rather than development
• Experience participating in release readiness reviews, regression sign off forums, and risk acceptance discussions Roles & Responsibilities
Enterprise Regression Governance
• Definition of enterprise regression scope and coverage models
• Governance of critical business flow coverage across portfolios and releases
• Regression readiness governance (coverage, data, environment alignment)
• Cross portfolio regression coordination and conflict resolution
Automation Governance & Standards
• Definition and enforcement of automation standards, frameworks, and design principles
• Governance of script redundancy, flakiness, and maintainability
• Tracking and governing self healing automation adoption
• Automation lab governance (standards, access, compliance)
AI Governance in QA
• Governance of AI usage in QA (e.g., test generation, defect prediction, self healing)
• Definition of AI quality, ethics, explainability, and auditability standards
• Approval and oversight of AI use cases from a risk and compliance perspective
• Tracking AI KPIs, ROI, and adoption maturity
Metrics, Reporting & Continuous Improvement
• Definition and tracking of performance KPIs, risk indicators, and compliance metrics
• Translating performance data into executive level insights
• Using production feedback to drive governance improvements•
CI/CD & DevOps Governance
• Governance of automation and regression integration into CI/CD pipelines
• Definition of automation related quality gates and release criteria
• Collaboration with DevOps teams on pipeline compliance and standards
The role must govern, standa rdize, and audit usage of these tools - not run tests
Automation Tools:
• UFT
• TOSCA
• LeanFT
• Selenium
• Playwright
• CI/CD & DevOps Ecosystem:
• Azure DevOps / equivalent (governance exposure)
• Governance & Reporting:
Location : Rosemead, CA (Onsite)
Fulltime Must Have Technical/Functional Skills
• 5-8 years of overall experience in test automation, regression testing, or quality engineering, with at least 2-3 years in an enterprise governance, architect, or standards role
• Experienced in working in a TCOE environment
• Proven experience defining and enforcing enterprise wide regression and automation strategies ,frameworks across multiple applications, portfolios, or vendors
• Prior hands on automation background earlier in career, providing credibility to govern standards and challenge delivery teams (execution experience required historically, not in current role)
• Experience operating in large, distributed Agile and hybrid delivery environments
• Exposure to AI assisted testing or intelligent automation initiatives, including governance of usage rather than development
• Experience participating in release readiness reviews, regression sign off forums, and risk acceptance discussions Roles & Responsibilities
Enterprise Regression Governance
• Definition of enterprise regression scope and coverage models
• Governance of critical business flow coverage across portfolios and releases
• Regression readiness governance (coverage, data, environment alignment)
• Cross portfolio regression coordination and conflict resolution
Automation Governance & Standards
• Definition and enforcement of automation standards, frameworks, and design principles
• Governance of script redundancy, flakiness, and maintainability
• Tracking and governing self healing automation adoption
• Automation lab governance (standards, access, compliance)
AI Governance in QA
• Governance of AI usage in QA (e.g., test generation, defect prediction, self healing)
• Definition of AI quality, ethics, explainability, and auditability standards
• Approval and oversight of AI use cases from a risk and compliance perspective
• Tracking AI KPIs, ROI, and adoption maturity
Metrics, Reporting & Continuous Improvement
• Definition and tracking of performance KPIs, risk indicators, and compliance metrics
• Translating performance data into executive level insights
• Using production feedback to drive governance improvements•
CI/CD & DevOps Governance
• Governance of automation and regression integration into CI/CD pipelines
• Definition of automation related quality gates and release criteria
• Collaboration with DevOps teams on pipeline compliance and standards
The role must govern, standa rdize, and audit usage of these tools - not run tests
Automation Tools:
• UFT
• TOSCA
• LeanFT
• Selenium
• Playwright
• CI/CD & DevOps Ecosystem:
• Azure DevOps / equivalent (governance exposure)
• Governance & Reporting:
Vacancy posted 2 days ago
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