Principal Program Manager, AI

Position: Principal Program Manager, Responsible AI
Additional Location(s): N/A

Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.

At Boston Scientific, you'll have the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you advance your skills and career-supported in progressing, whatever your ambitions.

About the role:

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.

Work Mode

At Boston Scientific, we value collaboration and synergy. This role follows hybrid work model, requiring employees to be in our local office three days per week.

Relocation

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

VISA

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

* Lead and organize the cross-functional Responsible AI Governance teams, including charter, operating cadence, agendas, decision logs, action tracking, escalation pathways, and leadership reporting.

* Operationalize the governance team by coordinating participation across AI, Data Governance, Legal, Privacy, Security, Regulatory, Quality, Compliance, Enterprise Architecture, and divisional stakeholders.

* Lead implementation, launch, and scale of Responsible AI policies and workflows, translating high-level policy requirements and partially defined processes into repeatable enterprise operating models.

* Establish clear roles, responsibilities, decision rights, and governance forums so AI initiatives can move efficiently through intake, review, approval, monitoring, and escalation.

Enterprise AI governance program delivery

* Create and manage a scalable governance program for AI initiatives across all divisions, regions, and functions, ensuring each initiative follows the appropriate Responsible AI pathway based on risk, use case, data sensitivity, and regulatory impact.

* Develop standardized intake, triage, risk assessment, documentation, workflow, and approval artifacts that can be reused across business units and integrated into existing product, data, technology, and compliance processes.

* Partner with cross-functional teams to embed Responsible AI requirements into agile delivery, product development, vendor onboarding, data governance, cybersecurity, privacy, quality, and software lifecycle processes.

* Maintain an enterprise view of AI initiatives progressing through governance, including status, risks, decisions required, accountable owners, dependencies, and readiness for launch or scale.

Metrics-driven compliance and reporting

* Define and implement governance KPIs and compliance metrics that measure Responsible AI workflow adherence, review cycle times, risk disposition, overdue actions, control effectiveness, and adoption across the enterprise.

* Build and maintain reporting mechanisms, dashboards, and executive summaries that provide visibility into Responsible AI governance performance, emerging risks, program maturity, and decision needs.

* Use metrics and feedback to identify bottlenecks, policy gaps, process variation, training needs, and opportunities to improve speed, consistency, and quality of AI governance decisions.

Stakeholder enablement and change management

* Enable divisional and…