Program Manager – Quality Engineering

André; Boston (MA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Andr Global Inc. is seeking a Program Manager for Quality Engineering and Automation to lead enterprise-scale QA and testing programs across complex technology environments.

You will work with business stakeholders, technology leaders, engineering, testing teams, and delivery partners to drive high-quality outcomes. You will define testing strategy, lead automation initiatives, manage multiple workstreams, and establish effective quality governance across enterprise programs, including data

Qualifications

• 20+ years of experience in program management or quality engineering leading complex enterprise programs.

Responsabilités

• Lead end-to-end QA and testing programs across multiple applications and workstreams.
• Define enterprise testing strategies including functional, integration, system, regression and end-to-end testing.
• Oversee test automation programs, roadmaps, implementation and continuous improvement.
• Govern programs with planning, milestones, risks, resources and executive reporting.
• Collaborate with business, engineering, product and QA to align testing with objectives.
• Promote shift-left testing, continuous testing and automation within CI/CD.
• Support test planning, execution, defect management, release readiness and reporting.
• Apply data testing concepts such as data validation, reconciliation and SQL basics.
• Explore GenAI/AI-enabled testing capabilities to boost productivity.
• Define KPIs and quality metrics to monitor progress and release quality.

Connaissances

Program Management

Quality Engineering

Software Testing

Stakeholder Management

Executive Reporting

Automation Strategy

Formation

Bachelor's degree in CS/Engineering/IT

Outils

Selenium

Playwright

Tosca

UFT

ALM

Description du poste

Andr Global Inc. is a global provider of information technology services. Since 2002, we have helped our clients in the APAC region achieve their business goals by leveraging the power of technology. In 2016, we entered the AMERICAS to re-create similar success here as well. Headquartered in New York City, we are now serving our global clients.

We strive to deliver customer satisfaction through our service quality to all our clients!

Our global and diverse team helps our customers achieve their project goals at a faster pace with high affordability but without any compromise on quality. We take pride in providing an outstanding quality of service to all our customers starting from startups, small businesses to Fortune 500.

With more than a decade of experience servicing customers across geographies, we have stationed ourselves at a unique position in the global market. Our ability to assemble the best workforce in record time has been a great asset to our clients.

About The Role

As a Program Manager Quality Engineering & Automation, you will lead enterprise-scale Quality Engineering and testing programs across complex technology environments. You will be a valued member of the Quality Engineering & Assurance team and work collaboratively with business stakeholders, technology leaders, engineering teams, testing teams, and delivery partners to drive high-quality outcomes.

You will provide strong program leadership while helping define testing strategy, drive automation initiatives, manage multiple workstreams, and establish effective quality governance across enterprise programs.

In This Role, You Will

• Lead end-to-end Quality Engineering and testing programs across multiple applications, platforms, and workstreams.
• Define and drive enterprise testing strategies covering functional, integration, system, regression, end-to-end, and other relevant testing areas.
• Lead and oversee test automation programs, including automation strategy, roadmap, implementation, and continuous improvement.
• Drive program governance including planning, milestones, dependencies, risks, issues, resources, metrics, and executive reporting.
• Partner with business, engineering, product, and QA stakeholders to align testing priorities with program and business objectives.
• Drive adoption of modern Quality Engineering practices, including shift-left testing, continuous testing, and automation within CI/CD environments.
• Support effective test planning, test execution, defect management, release readiness, and quality reporting.
• Apply a working understanding of data testing, including data validation, reconciliation, source-to-target validation, and basic database/SQL concepts.
• Support the adoption of GenAI/AI-enabled capabilities within the testing lifecycle, such as test design, test-case generation, test-data generation, defect analysis, and other productivity use cases.
• Establish KPIs and quality metrics to provide visibility into testing progress, automation, risks, defects, and overall release quality.
• Influence cross-functional stakeholders and drive resolution of complex program dependencies and delivery risks.

What You Need To Have To Be Considered

• 20 + years of extensive experience in Program Management, Quality Engineering, Software Testing, or related technology delivery disciplines, with significant experience leading complex enterprise programs.
• Strong Program Management capabilities, including planning, governance, stakeholder management, resource planning, risk and dependency management, and executive reporting.
• Experience with automation tools or frameworks such as Selenium, Playwright, Tosca, UFT, or similar technologies.
• Strong understanding of software testing concepts, methodologies, and the software testing lifecycle.
• Demonstrated experience defining and implementing enterprise Automation testing strategies across complex applications and technology landscapes.
• Proven experience driving test automation initiatives or transformation programs, including automation planning, adoption, governance, and measurement.Experience managing multiple testing workstreams, applications, releases, and geographically distributed teams.
• Experience with ALM/Test Management and defect-management tools.
• Working knowledge of data testing concepts, such as data validation, reconciliation, transformation/mapping, database validation, and SQL.
• Basic understanding of GenAI and its applications within Quality Engineering and software testing.
• Understanding of Agile, DevOps, CI/CD, and modern software delivery practices.
• Excellent communication, leadership, stakeholder-management, and executive presentation skills.
• Bachelor s degree in computer science, Engineering, Information Technology, or a related discipline.

These will help you stand out

• Life Sciences or Pharmaceutical industry experience is a plus but not required.
• Experience leading enterprise Quality Engineering transformation programs.
• Experience integrating automated testing into CI/CD pipelines.
• Experience with API, integration, performance, or data testing.
• Exposure to AI-assisted testing, including test design, test generation, test-data generation, intelligent regression, or defect analysis.
• Experience establishing Testing or Quality Engineering Centers of Excellence.
• PMP, ISTQB, Agile/Scrum, or related professional certifications.