Senior Director, Commercial Technology AI Product Management

Role Summary

Senior Director to lead AI Product Management within our Commercial Technology organization. Responsible for building and managing a portfolio of high-value commercial AI products that automate operations, accelerate patient access, and enhance customer experience. Define and drive the AI strategy, lead the development and adoption of agentic AI-powered solutions, and collaborate with business engagement and platform teams to deliver measurable value. Focus on defining and tracking the impact of AI investments, fostering upskilling and capability building across functional teams to ensure successful adoption of AI and GenAI capabilities.

Responsibilities

• Define and lead the AI product vision, roadmap, and lifecycle for commercial technology initiatives.
• Translate complex business needs into scalable AI solutions that drive measurable value across marketing, market access, and field operations.
• Partner with Commercial, Data Science, IT, and external stakeholders to identify high-impact AI opportunities aligned with business goals.
• Lead cross-functional teams through the full product lifecycle—from ideation and design to development, deployment, and optimization.
• Horizon scan and identify emerging AI technologies, build and manage AI product roadmap, and drive adoption of cutting-edge autonomous commercial solutions.
• Ensure AI products meet compliance, legal, and ethical standards, including data privacy and regulatory requirements.
• Champion a culture of innovation, experimentation, and continuous improvement in AI product development.
• Serve as a trusted advisor to senior leadership, providing insights and recommendations grounded in data and commercial strategy.

Qualifications

• Proven expertise in AI/ML product management within a commercial or healthcare technology context.
• Deep understanding of commercial strategy, market access, and the pharmaceutical value chain.
• Strong leadership in cross-functional environments, with the ability to influence and align diverse stakeholders.
• Demonstrated ability to translate business challenges into AI-driven solutions with measurable outcomes.
• Advanced proficiency in commercial competencies including:
  • Insight Generation: Forecasting, data synthesis, and customer experience insights.
  • Commercial Strategy: Portfolio planning, lifecycle management, and brand value creation.
  • Commercial Execution: Market access planning, vendor management, and performance accountability.
  • Business-Minded Leadership: Risk management, resource allocation, and innovation strategy.
  • Influential Communication: Executive-level storytelling, negotiation, and stakeholder engagement.
  • Trusted Partnership: Cross-functional collaboration and inclusive leadership.

Education

• Bachelor’s degree in a relevant field (e.g., Business, Computer Science, Engineering); advanced degree (MBA, MS, PhD) preferred.
• Experience in the biotech, pharmaceutical, or healthcare technology industry strongly preferred.
• 12+ years’ experience with 3+ years pharmaceutical commercial domain experience
• Strong experience setting agentic AI vision and governance framework development
• Prior experience building and embedding AI into an organization
• Understanding of multi-agent, hierarchical structures and orchestration e.g. integrating agents and AI solutions with other agents/ platforms across an end-to-end process
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• Fine-tuning and context engineering for domain-specific applications
• Knowledge of model evaluation and performance optimization techniques
• Emerging technology evaluation, horizon scanning and partnership management experience
• Hands-on experience building and deploying agentic AI in Pharma/Life Sciences
• Change management and technology adoption expertise
• Executive communication and influence skills

Additional Requirements

• Hybrid-Eligible Or On-Site Eligible