Sr. Director, US Commercial Product Lead, AIA
Pfizer
12 hours ago
Remote friendly (New York, NY)
United States
$214,900 - $358,100 USD yearly
Marketing
Role Responsibilities
- Lead commercial organization end-to-end execution against a core Blueprint pillar across all three 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 excellent product design and delivery principles.
- Manage a meaningful budget and support delivery of committed commercial savings targets (including CEO office commitments).
- 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 a culture of innovation, collaboration, and accountability.
- Partner with Commercial, Digital, and Analytics teams 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.
- Champion and 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 and continuously optimize.
- Own the impact story and 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/AI-analytics leadership; 10+ years people management; 5+ years in product development/ownership principles; proven enterprise-scale AI delivery in commercial domains.
- Skills: strategic thinking, stakeholder management, strong AI/ML technical acumen; excellent communication and executive-level influencing skills.
Other
- Work location: Hybrid, 2–3 days onsite/week.
- Lead commercial organization end-to-end execution against a core Blueprint pillar across all three 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 excellent product design and delivery principles.
- Manage a meaningful budget and support delivery of committed commercial savings targets (including CEO office commitments).
- 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 a culture of innovation, collaboration, and accountability.
- Partner with Commercial, Digital, and Analytics teams 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.
- Champion and 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 and continuously optimize.
- Own the impact story and 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/AI-analytics leadership; 10+ years people management; 5+ years in product development/ownership principles; proven enterprise-scale AI delivery in commercial domains.
- Skills: strategic thinking, stakeholder management, strong AI/ML technical acumen; excellent communication and executive-level influencing skills.
Other
- Work location: Hybrid, 2–3 days onsite/week.