Principal (Senior Director), Commercial Enterprise AI Product Mgmt. - E2E Marketing Enablement

What you'll do

• Identify, prioritize, and build business cases for AI opportunities across marketing workflows; maintain the opportunity portfolio and make resource trade-off recommendations.
• Translate business needs into scopes, prototypes, success measures, and scaling plans in partnership with engineering and senior business and scientific leaders.
• Set value-realization measures, communicate results, and use post-mortems to improve future investment and deployment decisions.

What they ask for

• 15 or more years of professional experience across some combination of pharma/life sciences, AI/ML product strategy, and product management or strategy roles in technology-led organizations.
• Track record of taking at least one technology or AI initiative from problem framing through executive funding and into delivery.
• Direct involvement in pharma marketing enablement, including at least one listed workflow area, and coordinating creative asset development and content submission workflows, including MLR readiness.
• Hands-on prototyping with modern AI/ML concepts, including LLMs, agentic systems, and digital workers; product strategy or management experience; and experience influencing teams as an individual contributor without direct reports.

Nice to have

• Experience in forward deployed engineering, applied AI, or an AI lab/COE at a pharma, healthcare, or comparable regulated enterprise.
• Experience with pharma GxP, regulatory, or data-governance requirements, or marketing technology platforms such as Veeva Vault PromoMats/MedComms, Adobe Experience Manager or Workfront, and Salesforce Marketing Cloud.

Pay

$195,525 to $325,875 USD annual base salary

Tools

LLMs, agentic systems, digital workers, Veeva Vault PromoMats/MedComms, Adobe Experience Manager, Workfront, Salesforce Marketing Cloud

AI focus

Identify, prototype, prioritize, and guide AI products for end-to-end marketing enablement, including workflow orchestration, content adaptation, MLR review, channel activation, and performance analytics; define human oversight and measure business value.