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 TechExperience Level
Senior Level