Senior Portfolio Manager

ESSENTIAL DUTIES

Product Management

• Owns product vision, roadmap, and prioritization for AI platform capabilities used across multiple teams and functions.
• Leads discovery with stakeholders to identify high-value problems, define success criteria, and translate needs into clear requirements and outcomes.
• Establishes and manages a backlog and delivery plan, sequencing work based on impact, feasibility, risk, and organizational readiness.
• Partners with engineering and architecture to ensure solutions are scalable, maintainable, and fit for enterprise use.
• Defines adoption strategy, including launch planning, enablement materials, training sessions, and feedback mechanisms.
• Establishes success metrics and regularly evaluates outcomes (adoption, workflow impact, quality, efficiency), adjusting product direction based on evidence.
• Communicates decisions, tradeoffs, and progress clearly to stakeholders at multiple levels, driving alignment and timely resolution of issues.
• Coordinates with governance, risk, and compliance partners to ensure appropriate controls, documentation expectations, and trust considerations are addressed as part of product delivery.

Responsible & Compliant AI

• Follow medical device quality system processes, documentation standards, and audit expectations.
• Support AI risk assessment, validation, traceability, and performance monitoring activities.
• Contribute to explainability, bias evaluation, and safety controls.
• Document best practices and key learnings to support organizational knowledge sharing.
• Partner with business stakeholders, Digital Transformation, ITS team members, and Terumo Corporate associates.
• Document methods, architecture decisions, and model evaluations.
• Engage in continuous learning on medical device regulations, AI governance, and emerging AI technologies.
• Mentor other team members and contribute to a collaborative, growth-oriented team culture.

OTHER DUTIES AND RESPONSIBILITIES

• Supports development of reusable product patterns, templates, and playbooks that improve consistency across AI initiatives.
• Contributes to continuous improvement of intake, prioritization, and value realization practices for AI platform work.
• Contributes with defining governance, guidance, guardrails, and policies.
• Serves as an ambassador for effective product thinking and customer-centric delivery across cross-functional teams.

Education

Bachelor's degree in Business, Engineering, Computer Science, or related field; or equivalent education and experience sufficient to successfully perform the essential functions of the job may be considered

Experience

• Minimun 4 years of recent demonstrated experience owning or leading enterprise-scale products or platforms used by multiple teams or functions.
• Proven success driving prioritization and delivery in ambiguous environments with competing stakeholder demands.
• Experience leading adoption and change management for new capabilities (enablement, rollout planning, feedback loops).
• Experience working with Engineering and Infrastructure teams communicating requirements and driving execution to deliver product features.

Skills

• Strong judgment in prioritization and tradeoff decisions under real constraints
• Ability to communicate clearly with technical and non-technical partners
• Clear written and verbal communication skills, including executive-ready synthesis
• Adaptable, curious, and eager to learn both AI and med-tech compliance practices
• Ability to influence across functions without direct authority; strong stakeholder leadership
• Team-oriented, proactive, and committed to ethical, patient-first AI development
• Comfort working with technical teams on complex systems without needing to be the technical decision-maker

Preferred Qualifications

• Experience in Medical device or healthcare environments (internship, course, lab, project)
• Product Management certification
• Experience with agent-based architecture or conversational AI platforms
• Familiarity with cloud-based delivery models for enterprise software solutions
• Understanding of regulated software concepts (e.g., GxP, ISO 13485, MDSAP, IEC 62304*, SaMD guidance*)
• Familiarity with responsible AI, model interpretability, or bias mitigation
• Strong analytical and structured problem-solving skills

Typical Office Environment requirements include reading, speaking, hearing, close vision, traverse, bending, sitting, and occasional lifting up to 20 pounds.