Principal Program Manager, AI

Program Manager, Responsible AI

Artificial intelligence is becoming increasingly embedded across medical technology, enterprise operations, digital health, clinical workflows, and customer-facing solutions. Boston Scientific is advancing science for life by enabling AI innovation through clear governance, accountable decision-making, and responsible AI practices that scale across the enterprise.

As the Program Manager, Responsible AI, you will oversee and manage Responsible AI (RAI) governance and operationalize the cross-functional governance model for AI across Boston Scientific. You will translate high-level policies and partially defined workflows into a scalable, metrics-driven program that ensures appropriate governance for every AI initiative across divisions, regions, and functions.

In this role, you will lead implementation, launch, and scale of Responsible AI policies, workflows, processes, compliance metrics, and reporting mechanisms. You will work closely with AI Engineering, Enterprise Architecture, Data and AI Governance, Legal, Privacy, Security, Regulatory, Quality, Compliance, and divisional business teams to embed Responsible AI controls into practical delivery processes while enabling teams to move with speed and clarity.

This role follows a hybrid work model, requiring employees to be in our local office three days per week.

Relocation assistance is not available for this position at this time.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time.

Your responsibilities will include:

• Responsible AI governance operations
• Enterprise AI governance program delivery
• Metrics-driven compliance and reporting
• Stakeholder enablement and change management

Required qualifications:

• Bachelor's degree in Business, Engineering, Computer Science, Data Science, Biomedical Engineering, Public Policy, Law, Ethics, or a related field.
• 7+ years of experience in program management, product management, governance, risk management, compliance, digital delivery, or AI/data-enabled transformation within a large, matrixed organization; healthcare, medtech, life sciences, or regulated-industry experience strongly preferred.
• Demonstrated experience translating policies, standards, or partially defined workflows into scalable operating models, governance processes, metrics, and execution plans.
• Experience leading cross-functional programs with stakeholders across AI/technology, business units, Legal, Privacy, Security, Regulatory, Quality, Compliance, and enterprise governance teams.
• Working knowledge of AI/ML solution delivery, data governance, Responsible AI concepts, model risk management, privacy, cybersecurity, and risk-based controls.
• Strong program management skills, including meeting facilitation, decision tracking, issue escalation, roadmap planning, executive reporting, and measurable outcome delivery.
• Strong analytical, problem-solving, and communication skills with the ability to influence without direct authority, drive alignment, and navigate ambiguity in a fast-moving environment.

Preferred qualifications:

• Experience operationalizing Responsible AI, AI governance, model risk management, data governance, or technology risk programs at enterprise scale.
• Experience designing governance metrics, dashboards, compliance reporting, maturity models, or executive scorecards.
• Familiarity with emerging AI regulatory and standards landscapes, such as the EU AI Act, NIST AI Risk Management Framework, ISO/IEC AI standards, FDA considerations for AI-enabled medical software, or related responsible technology frameworks.
• Experience supporting AI/ML-enabled products, clinical decision support, digital health, software as a medical device (SaMD), or enterprise AI platforms in a regulated environment.
• Experience with change management, training, communications, and stakeholder enablement for enterprise processes or governance programs.
• Certification in Agile, Product Management, Project/Program Management, Risk Management, Privacy, Security, or Compliance (e.g., CSPO, SAFe, PMP, or equivalent).
• Ability to balance innovation velocity with governance rigor, making processes practical, scalable, and measurable for teams across divisions, regions, and functions.