Role Summary
The
Senior Manager, QA / User Testing will lead the strategic planning, execution, and continuous improvement of user testing initiatives within the AI Accelerator team.
This role is pivotal in ensuring that AI-driven solutions meet the highest standards of quality, usability, and compliance
Role Responsibilities
Strategic Leadership & Planning
- Define and implement the QA and user testing strategy for AI-enabled products and platforms.
- Collaborate with cross-functional teams (Product, Engineering, Data Science, Regulatory, and Commercial) to align testing objectives with business goals.
- Champion a user-centric approach to quality assurance, ensuring solutions meet real-world needs and regulatory standards.
Test Management & Execution
- Lead the design and execution of end-to-end user testing plans, including functional, usability, performance, and regression testing.
- Develop and maintain test cases, scripts, and automation frameworks tailored to AI/ML models and digital health applications.
- Oversee test environments, data sets, and tools to ensure robust and repeatable testing processes.
AI-Specific Quality Assurance
- Collaborate with data science and engineering teams to validate AI model outputs, fairness, explainability, and performance.
- Implement testing protocols for model drift, bias detection, and real-world validation.
- Ensure traceability and auditability of AI decisions in compliance with healthcare regulations (e.g., FDA, ANVISA, COFEPRIS).
Stakeholder Engagement & Communication
- Act as the primary QA liaison for internal and external stakeholders, including regulatory bodies, commercial teams, and technology partners.
- Present testing outcomes, risk assessments, and mitigation strategies to senior leadership.
- Facilitate user feedback loops to inform iterative development and model refinement.
Governance & Compliance
- Ensure all testing activities adhere to internal quality standards, data privacy regulations (e.g., HIPAA, GDPR), and local market requirements.
- Maintain documentation and evidence for audits, inspections, and regulatory submissions.
- Support pharmacovigilance and safety teams in validating AI tools used in clinical and commercial settings.
Basic Qualifications
- Bachelor's or Master's with 7+ years experience in QA, Software testing, or Digital Product Validation, with at least 3 years in a leadership role.
- Experience in AI/ML product testing, preferably in healthcare or life sciences.
- Strong understanding of regulatory frameworks (FDA, EMA, ANVISA, COFEPRIS).
- Proficiency in test automation tools (e.g., Selenium, JUnit, Postman) and QA methodologies.
- Excellent communication, stakeholder management, and analytical skills.
- Fluency in English
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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