Senior Manager, QA / User Testing (AI Operations)

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. Information & Business Tech