Senior Manager, Marketing AI Product Operations, CoCo
Pfizer Statistics Program
Summary
As Pfizer scales from pilot to enterprise adoption, we are seeking a Senior Manager, Marketing AI Product Operations to partner closely with cross-functional product, engineering, and supporting teams, so that AI solutions have the right business requirements, technical requirements, product discipline and documentation to ensure a brand-aligned, adopted, and impactful user experience across the US Commercial Organization. This role will sit within a CoCo Product Pod at the intersection of business need, workflow, and AI capability.
Job description
Stakeholder Engagement & Facilitation
- Act as a liaison between internal AI product units (e.g., Product, PMO, UX, Data Science, Engineering, Research, QC, & launch readiness).
- Facilitate workshops, interviews, and co-creation sessions to gather insight and define solution requirements.
- Facilitate detailed discovery sessions, requirements workshops, and stakeholder interviews with business and technical participants.
- Manage internal team expectations and communicate outcomes clearly and effectively.
Requirements Gathering & Documentation
- In an AI Native way, develop business requirement documents, user stories, definitions of done, dependencies, and acceptance criteria for AI products and solutions.
- Partner with UI/UX, QA, and Solutions Architecture teams so business needs are reflected in design and functionality.
- Maintain traceability between business goals, technical implementation, and performance metrics.
- Translate customer needs into clear business requirements, functional specifications, user stories, process flows, business rules, and acceptance criteria.
- Use AI native ways of working to capture requirements, workflows, and intent files to technical teams for deployment.
- Maintain requirements documentation and traceability throughout the implementation lifecycle.
- Manage feature-level dependencies across product set.
- Support PI planning to ensure consistent documentation, forward-product planning to requirements, and launch timing follow best practices.
Product Analysis & Experience Alignment
- Map end-to-end user tagging, and requirements to enable multi-surface AI product measurement, adoption, traceability, and operational domains to surface friction and opportunity.
- Analyze current-state business processes and document future-state functional requirements.
- Manage and review evals and frameworks to improve chat UX, and multi-dimensional routing.
- Understand top user features, LLM queries, and outputs to raise roadmap adjustments and requirements evolutions.
- Identify opportunities to streamline workflows and reduce friction through intelligent automation and thoughtful design.
- Map definition of done and acceptance criteria to output and enhancements.
Adoption & Change Support
- Support change-management and adoption efforts across business units.
- Help develop training materials, onboarding guides, and communication plans that drive user engagement.
- Address feedback and resistance through iterative design and stakeholder collaboration.
Requirements
- Bachelor’s or Master’s degree in Business, Life Sciences, Health, Design/HCI, or a related field.
- 6+ years of experience in business analysis, strategy, digital transformation, or product/experience roles — preferably in healthcare or life sciences.
- Demonstrated experience translating business needs into technical or product requirements, ideally in partnership with data, analytics, or digital teams.
- Working knowledge of healthcare or commercial workflows and how users interact with digital tools.
- Strong communication, facilitation, and stakeholder-management skills.
- Experience with AI/ML, advanced analytics, or automation solutions in a regulated environment.
- Familiarity with product principles and workflow methods — JIRA, Confluence, Figma, Github, Claude, Cursor, etc.
- Understanding of pharma workflows and/or healthcare regulations and data privacy (e.g., HIPAA).
- Experience with agile delivery and cross-functional product teams.
- Ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues.
Benefits
- 401(k) Matching
- Retirement Savings Contribution
- Paid Vacation
- Paid Holidays
- Paid Personal Days
- Paid Caregiver Leave
- Paid Parental Leave
- Paid Medical Leave
- Medical Coverage
- Prescription Drug Coverage
- Dental Coverage
- Vision Coverage
- Long-Term Incentive Program
- Performance Bonus
Company overview
The Pfizer Statistics Program represents the statistical and data sciences functions within Pfizer Inc., one of the world's premier biopharmaceutical companies. This specialized program encompasses both the statistical analysis capabilities that support Pfizer's drug development pipeline and the educational initiatives like the Breakthrough Fellowship Program that includes MS Statistics components. As part of Pfizer's Research & Development organization, the Statistics Program plays a critical role in clinical trial design, data analysis, regulatory submissions, and evidence generation for Pfizer's innovative medicines and vaccines. The program employs advanced statistical methodologies and data science techniques to ensure the scientific rigor and integrity of Pfizer's clinical research across therapeutic areas including oncology, internal medicine, immunology, and vaccines. Through its integration with Pfizer's global operations, the Statistics Program contributes to the company's mission of delivering breakthroughs that change patients' lives by providing robust statistical support from early discovery through post-marketing surveillance.