Sr. Director, Commercial AI Product Owner

ROLE SUMMARY

The Commercial AI Product Owner will lead an AI product for the commercial AI Acceleration team to design, develop, and scale real-time messaging suggestions for end customers, leveraging approved content and logic defined in partnership with marketers to improve HCP engagement effectiveness and drive business outcomes.

ROLE RESPONSIBILITIES

• Business engagement: Build strong relationships end customers to understand call workflows, identify pain points, and translate needs into product requirements 
• Roadmap ownership: Translate approved business cases into a pod roadmap with clear scope, milestones, success metrics, and risks, in partnership with Digital and marketing stakeholders 
• Backlog management: Own the intake, refinement, sizing, and prioritization of backlog items to maximize business value and impact to business teams within capacity constraints 
• Design readiness: Partner with translators and UX to define problem statements, message flows, prompts, and UI specifications tailored to field requirements, including designing the taxonomy to map barriers to each individual HCP 
• Governance alignment: Ensure compliance with data access, model approvals, risk controls, brand, and regulatory requirements before development begins 
• Pod leadership: Lead a cross-functional team of data science, ML engineering, full-stack, solution architecture, UX, agent ops, business translators through iterative development cycles 
• Release management: Oversee release readiness including test plans, go/no-go decisions, stakeholder alignment, and deployment execution with engineering/DevOps 
• Testing & monitoring: Conduct UAT and production smoke tests, validate guardrails and monitoring, and ensure systems meet SLOs/SLAs on latency, accuracy, availability, and cost 
• Enablement & adoption: Partner with the Change Management & Training Lead and cross functional partners to support change management and drive adoption, providing input on training and communications while ensuring consistency of in-product guidance and messaging from the core product and marketing teams 
• Issue resolution: Triage and resolve user issues, communicate updates and workarounds, and manage incident reporting trends 
• Performance tracking: Track and report KPIs including adoption, relevance, business outcomes, and delivery predictability; continuously refine based on marketer and user feedback 
• Collaboration: Partner with other AI pods to ensure seamless integration and continuity of insights 
• Culture & accountability: Foster a pod culture of clarity, speed, collaboration, and accountability to deliver measurable business impact 
• Issue resolution: Triage and resolve user issues, communicate updates and workarounds, and manage incident reporting trends 
• Performance tracking: Track and report KPIs including adoption, relevance, business outcomes, and delivery predictability; continuously refine based on marketer and user feedback 
• Collaboration: Partner with other AI pods to ensure seamless integration and continuity of insights 
• Culture & accountability: Foster a pod culture of clarity, speed, collaboration, and accountability to deliver measurable business impact 

Basic Qualifications:

• BA / BS with 12+ years of experience leading cross-functional commercial projects (graduate degrees can be substitute for experience)
• Understanding of AI and machine learning frameworks and libraries
• Experience in leading teams

Preferred Qualifications:

• Experience with cloud platforms and tools for deploying AI models, such as AWS, Google Cloud, or Azure.
• Experience in AI development, including hands-on experience with designing, training, and deploying AI models.
• Ability to lead and inspire a team, fostering collaboration and innovation.
• Strong project management skills, including the ability to plan, execute, and deliver projects on time.
• Excellent communication skills for articulating complex technical concepts to non-technical stakeholders.
• Strategic thinking to align AI initiatives with business goals and industry trends.
• Strong analytical and problem-solving skills to tackle complex challenges in AI development.
• Creativity to innovate and find novel solutions to problems.
• Understanding of ethical considerations and biases in AI, and commitment to developing responsible AI systems.
• Awareness of privacy and security issues related to AI and data handling.
• Understanding of marketing, brand management and commercial analytics to ensure relevant and impactful solutions.