Sr. Director, US Commercial Product Lead, AIA
Pfizer
10 hours ago
Remote friendly (New York, NY)
United States
Marketing
Role Responsibilities
- Lead the commercial organization’s end-to-end execution against a core Blueprint pillar across Business Unit Presidents and the EVP, Chief Commercial Officer (+ LT).
- Own and define the AI product roadmap for US Commercial domains.
- Align roadmap with enterprise priorities, value delivery commitments, regulatory requirements, and technology standards.
- Partner with Product Owners to define and prioritize detailed product capabilities.
- Define and execute product design and delivery principles.
- Manage a meaningful budget and help deliver committed commercial savings targets.
- Serve as POC for Commercial domains on AI product initiatives.
- Enable pod reuse of domain agents to maximize scalability and efficiency.
- Lead and develop a team of ~6+ Senior Director-level Product Owners across multiple functional domains.
- Foster innovation, collaboration, and accountability.
- Partner with Commercial, Digital, and Analytics to ensure seamless integration of AI solutions.
- Own executive-level presentations articulating portfolio strategy and ongoing value delivery.
- Drive stakeholder engagement and change management for adoption of AI capabilities.
- Ensure adherence to data privacy, security, and ethical AI standards; embed best practices for AI development and deployment.
- Support evolution of the portfolio-level Operating Model.
- Define Commercial goals, success metrics, and KPIs for AI products; monitor performance and continuously optimize.
- Own the impact story and presentations for ELT level updates; deliver measurable business outcomes through AI-driven insights and automation.
Basic Qualifications
- Education: Bachelor’s Degree required; advanced degree in Business, Technology, Data Science, or related field preferred.
- Experience: 12+ years in product management, digital transformation, or AI/analytics leadership; 10+ years people management; 5+ years product development/ownership principles; proven enterprise-scale AI delivery in commercial domains.
- Skills: Strategic thinking, stakeholder management, strong technical acumen in AI/ML; excellent communication and influencing skills across executive leadership levels.
Work Location
- Hybrid: 2–3 days onsite/week.
- Lead the commercial organization’s end-to-end execution against a core Blueprint pillar across Business Unit Presidents and the EVP, Chief Commercial Officer (+ LT).
- Own and define the AI product roadmap for US Commercial domains.
- Align roadmap with enterprise priorities, value delivery commitments, regulatory requirements, and technology standards.
- Partner with Product Owners to define and prioritize detailed product capabilities.
- Define and execute product design and delivery principles.
- Manage a meaningful budget and help deliver committed commercial savings targets.
- Serve as POC for Commercial domains on AI product initiatives.
- Enable pod reuse of domain agents to maximize scalability and efficiency.
- Lead and develop a team of ~6+ Senior Director-level Product Owners across multiple functional domains.
- Foster innovation, collaboration, and accountability.
- Partner with Commercial, Digital, and Analytics to ensure seamless integration of AI solutions.
- Own executive-level presentations articulating portfolio strategy and ongoing value delivery.
- Drive stakeholder engagement and change management for adoption of AI capabilities.
- Ensure adherence to data privacy, security, and ethical AI standards; embed best practices for AI development and deployment.
- Support evolution of the portfolio-level Operating Model.
- Define Commercial goals, success metrics, and KPIs for AI products; monitor performance and continuously optimize.
- Own the impact story and presentations for ELT level updates; deliver measurable business outcomes through AI-driven insights and automation.
Basic Qualifications
- Education: Bachelor’s Degree required; advanced degree in Business, Technology, Data Science, or related field preferred.
- Experience: 12+ years in product management, digital transformation, or AI/analytics leadership; 10+ years people management; 5+ years product development/ownership principles; proven enterprise-scale AI delivery in commercial domains.
- Skills: Strategic thinking, stakeholder management, strong technical acumen in AI/ML; excellent communication and influencing skills across executive leadership levels.
Work Location
- Hybrid: 2–3 days onsite/week.