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.