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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI product management, including strategy development, lifecycle management, and governance in both US and International Markets. Proficient in driving user adoption and behavior change through effective communication, training, and stakeholder engagement.
Highest-signal resume keywords
AI Product ManagementData GovernanceStakeholder ManagementStrategic LeadershipChange Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningProduct ManagementProgram ManagementAI-Enabled Product DevelopmentAgile MethodologiesRisk ManagementData AnalyticsUser-Centered DesignPortfolio KPI TrackingField Enablement
Soft Skills
Executive CommunicationInfluencePeople LeadershipTalent DevelopmentCollaboration
Industry Keywords
Responsible AICommercial TechnologyDigital Product PortfolioGlobal Capability ScalingRegulated Environment
About the role
Key responsibilities & impact- Own the Field AI Capabilities vision, strategy, and multi-year roadmap for US and International Markets
- Translate business challenges and user needs into a prioritized portfolio of high-value AI use cases and measurable outcomes
- Lead end-to-end product management from discovery and experience design through development, launch, lifecycle management, and value realization
- Build a scalable global capability model balancing common platforms, reusable components, standards, and local market needs
- Partner with Technology, Data & Analytics, Commercial Operations, Sales, Marketing, Market Access, Medical, Privacy, Legal, and Compliance
- Establish product, data, and responsible AI governance, including decision rights, human oversight, quality, risk controls, monitoring, issue management, and lifecycle standards
- Drive adoption and behavior change through user-centered design, field co-creation, communications, training, support, and feedback
- Define and track portfolio KPIs including adoption, user satisfaction, productivity, quality, cycle time, customer-engagement impact, business value, cost, and risk
- Communicate progress and decisions to senior stakeholders
- Lead and develop a multidisciplinary team of employees, contractors, and strategic partners
- Monitor emerging AI, field enablement, and customer-engagement trends
- Evaluate and scale differentiated capabilities while managing investment, architecture, governance, and vendors
Requirements
What you’ll need- Bachelor's or master's degree in a relevant field such as computer science, data science, engineering, business, product management, or a related discipline
- 10+ years of experience in digital, data, analytics, AI, product management, commercial technology, or commercial operations
- Demonstrated leadership supporting field-based organizations
- Experience setting strategy and leading end-to-end delivery of an AI or digital product portfolio
- Experience designing, developing, launching, or scaling AI-enabled products, including generative AI, copilots, intelligent recommendations, automation, or decision-support capabilities
- Strong understanding of responsible AI, data governance, privacy, security, model and content quality, human oversight, and monitoring in a regulated environment
- Experience operating across US and International Markets and scaling global capabilities
- Excellent executive communication, influence, and stakeholder-management skills
- Demonstrated people leadership and talent-development capability
- Experience managing employees, contractors, vendors, budgets, and strategic partnerships
- Experience leading change management, training, field enablement, and adoption measurement
- Knowledge of Agile and product operating models
- Machine Learning (ML)
- Risk Management
- Product Management
- Program Management
- Stakeholder Management
- Strategic Leadership
- Visa sponsorship available
Benefits
Comp & perks- Annual bonus eligibility
- Long-term incentive eligibility, if applicable
- Medical, dental, and vision healthcare
- Other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate days
- Sick days
- Visa sponsorship
- Hybrid work arrangement
- 10% travel requirement
