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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI product management and operations, with a strong focus on developing and scaling AI-enabled content creation and MLR review products. Proficient in strategic thinking, project management, and aligning AI initiatives with business goals while ensuring ethical considerations and compliance in AI development.
Highest-signal resume keywords
AI Product ManagementCross-Functional Team LeadershipCloud Platforms (AWS, Google Cloud, Azure)AI Development and DeploymentStrategic Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI FrameworksMachine Learning LibrariesProject ManagementAI Model DesignAI Model TrainingAI Model DeploymentContent Lifecycle ManagementGenerative AIAutomationCommercial Analytics
Soft Skills
Excellent CommunicationStrategic ThinkingCross-Functional InfluenceMentoring and CoachingCollaboration
Certifications & Qualifications
BA / BS Degree
Industry Keywords
Medical, Legal and Regulatory (MLR)Ethical AIPrivacy and Security IssuesGlobal and Regional Team CollaborationGoverned Environments
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Lead the vision, strategy, roadmap and delivery of AI-enabled content creation and Medical, Legal and Regulatory (MLR) review products
- Manage a team of 5+ AI product managers
- Own the product vision, strategy and roadmap for AI-enabled content and MLR
- Build a cohesive product portfolio rather than disconnected point solutions
- Create AI products for power users that bring end-to-end content best practices together
- Consolidate capabilities into reusable AI content end-to-end products, agent instructions and services
- Translate business needs and product strategy into prioritized requirements, roadmaps and measurable outcomes
- Balance near-term delivery with long-term platform investment
- Partner with cross-functional teams from discovery through scale
- Define clear product boundaries, dependencies and ownership
- Apply generative AI, agentic workflows, RAG and automation across the content lifecycle
- Ground model outputs in governed source content, business rules and guardrails
- Evaluate emerging AI approaches for quality, context, scalability and responsible use
- Apply best practices in product application, evaluation, prompting and deployment
- Lead AI product management and AI product operations teams to scale, industrialize and commercialize content and MLR AI products
- Grow, mentor and coach AI product teams
- Align US and international commercial groups around shared priorities, visions and roadmaps
- Adapt solutions to local requirements while maximizing reuse of global capabilities
- Set success measures tied to adoption, cycle time and business impact
- Use user feedback and product performance to refine the roadmap
- Scale solutions across brands, markets and content types
Requirements
What you’ll need- BA / BS required
- 12+ years of experience leading cross-functional commercial projects
- Understanding of AI and machine learning frameworks and libraries
- Experience in leading teams
- Permanent work authorization in the United States
- Ability to travel based on business needs
- Experience with cloud platforms and tools for deploying AI models, such as AWS, Google Cloud, or Azure
- Experience in AI development, including hands-on experience with designing, training, and deploying AI models
- Strong project management skills
- Excellent communication skills for articulating complex technical concepts to non-technical stakeholders
- Strategic thinking to align AI initiatives with business goals and industry trends
- Strong executive communication and cross-functional influence
- Understanding of ethical considerations and biases in AI, and commitment to developing responsible AI systems
- Awareness of privacy and security issues related to AI and data handling
- Understanding of marketing, brand management and commercial analytics
- Experience in regulated or highly governed environments
- Experience working across global and regional teams and stakeholders
- Ability to influence and collaborate with peers, develop and coach others, and oversee and guide colleagues to achieve meaningful outcomes
Benefits
Comp & perks- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation, holiday and personal days
- Paid caregiver/parental and medical leave
- Medical, prescription drug, dental and vision coverage
- Bonus target of 22.5% of base salary through Pfizer’s Global Performance Plan
- Eligibility to participate in Pfizer’s share based long term incentive program
- Relocation assistance may be available based on business needs and/or eligibility
- Hybrid work arrangement
