Pfizer is seeking an experienced Senior Product Manager (SPM), Privacy to spearhead our Privacy product and engineering functions to build products and sustainable, compliant solutions for AI-powered future. This pivotal role involves monitoring and interpreting the global privacy landscape, with a focus on consent and preference management for Pfizer’s data, Adtech and Martech platforms. SPM will partner with product, legal, engineering and data stakeholders to define roadmaps, and operationalize standards (e.g., IAB TCF/ GPP) to support global scale marketing, advertising and commercial activations. Manage privacy operations and engineering programs across data and marketing platforms, leveraging in-depth knowledge of domestic and international data protection laws and translating them into product and engineering requirements. Act as the primary contact for privacy issues, offering expert guidance to senior leadership and stakeholders. Guide creation of user consents and preference experiences and set data collection norms, including consent signal interoperability across the stack so products and services align with privacy standards and business goals. Convert privacy policies into practical, actionable technical requirements Collaborate with product managers and privacy experts to foster agreement on innovative solutions for privacy-centric design issues. Communicate privacy decisions across teams and enable product teams to build compliance-focused, customer-friendly features—providing practical implementation guidance and validation through launch. Enable product teams to develop new, compliance-focused products and services by providing guidance on incorporating regulatory requirements in a customer-friendly manner, while ensuring full compliance. Continuously monitor the global privacy landscape, identifying compliance gaps or risks, and facilitating necessary changes to mitigate risks and ensure alignment with Global Privacy standards. Partner with Commercial AI stakeholders to implement data governance processes for data collection and use (e.g., purpose specification, retention, access controls, and auditability), especially covering AI/ML use cases and workflows when applicable.
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Job Type
Full-time
Career Level
Manager