Director, AI Product Management

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands.

We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.

The Director of AI Product Management will play a pivotal role within our product organization, leading AI-enabled product development and overseeing the management and execution of client onboarding and ongoing modifications in the Affordability product line. This leader will be responsible for scaling Copay and Buy & Bill solutions through automation, analytics, and applied AI, driving measurable efficiency gains and high-quality client outcomes. The Director will foster strong internal and external partnerships and will directly supervise a team of business analysts, providing guidance, mentorship, and strategic direction to support business objectives.

• Lead the planning, coordination, and execution of client implementations and change requests, incorporating AI-assisted workflows and automation to improve speed, quality, and consistency.
• Serve as the primary point of contact for clients during onboarding and throughout the lifecycle of client engagements, translating client needs into an AI-enabled product roadmap and measurable outcomes.
• Manage and develop a team of business analysts, upskilling the team on AI-assisted analysis, prompt best practices, and data-driven delivery methods while ensuring high performance and professional growth.
• Partner with cross-functional teams including Product, Operations, Engineering/IT, Data Science, and Client Implementation to design, build, and operationalize AI capabilities that align with product strategy and client requirements.
• Define and track success metrics such as cycle-time reduction, first-time-right rates, automation coverage, and client satisfaction, ensuring timelines, budgets, and deliverables are met.
• Identify, prioritize, and deliver AI efficiency initiatives including workflow automation, decision support, intelligent quality assurance, and self-service capabilities through experimentation, iteration, and continuous improvement.
• Maintain up-to-date knowledge of AI/ML trends, responsible AI practices, and industry and regulatory changes impacting affordability programs, data usage, and automation.