Senior Project Manager, Responsible AI

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 a Senior Project Manager, Responsible AI, you will act as a process steward to evangelize Responsible AI (RAI) governance and operationalize the cross-functional governance model for AI across Boston Scientific. You will translate high-level policies and workflows into a highly adopted, well understood, scalable, metrics-driven program that ensures appropriate governance for every AI initiative across divisions, regions, and functions.

In this role,and using change enablement practices,you willassistteamshands onto achieve full organizational implementation, adoption,and practice ofResponsible AIprocesses. You will work closely withthe Responsible AI team and Council,AI Engineering, Enterprise Architecture, Data and AI Governance, Legal, Privacy, Security, Regulatory, Quality, Compliance, and divisional businessstakeholderteams to embed Responsible AI controls intoAI solutions andproductswhile enabling teams to move with speed and clarity.

Work model, sponsorship, relocation:

At Boston Scientific, we value collaboration andsynergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. 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 process stewardship and hands-on project enablement

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  Develop deepexpertise andenablementreadiness forthe end-to-end Responsible AI process, requirements, decision points, roles, artifacts, controls, and escalation pathways.

  
  

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  Partner hands on with AI project teams from intake through approval and ongoing governance, helping each team understand requirements, complete requiredactivitiesand documentation, engage the right reviewers, resolve issues, and reach full compliance efficiently.

  
  

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  Act as a trusted guide and primary process resource for project teams, translating Responsible AI policies and compliance requirements into clear, practical actions tailored to the project's use case, risk profile, development pathway, and business context.

  
  

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  Proactivelyidentifyblockers, unclear requirements, missing inputs, dependencies, and decision needs; coordinate with Responsible AI, Legal, Privacy, Security, Regulatory, Quality, Compliance, Data and AI Governance, Enterprise Architecture, and other stakeholders to keep projects moving.

  
  

Role definition, operating model, and scalable playbook

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  Define and continuously refine the responsibilities, engagement model, success pathways, standard work, service expectations, and decision/escalation mechanisms based on practical experience supporting AI projects.

  
  

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  Establish a repeatable operating model for howprocessstewards engage with AI initiative owners, governance reviewers, and compliance functions, including entry criteria, checkpoints, handoffs, communication expectations, and completion criteria.

  
  

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  Collaborate closely with thechangeenablement team toincorporate the RAI process withinexisting governance processes; design a framework that enables high process adoption, includingcreatinga comprehensive playbook, including process maps, role guides, checklists, templates, FAQs, examples, training content, facilitation guidance, and lessons learned.

  
  

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  Design the role and playbook for enterprise scalesothe capability can be replicated across divisions, regions, and functions whilemaintainingconsistent Responsible AI standards and outcomes.

  
  

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  Identify existing anddesignnewcohorts through which asuccessfulimplementation of the capability and roleas well as a global RAI enablement community can be deliveredat scale

  
  

Compliance performance, process improvement, and program delivery

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  Drive toward 100% adherence to applicable Responsible AI process requirements for supported projects, with clear visibility to project status,requiredactions, accountable owners, risks, exceptions, and completion.

  
  

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  Track and analyze process performance, including compliance rates, cycle times, aging, rework, recurring questions, handoff delays, and bottlenecks; use insights to reduce avoidable process delays whilemaintaininggovernance rigor.

  
  

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  Partner with Responsible AI process owners and cross-functional compliance teams toidentifyopportunities to simplify, clarify, standardize, and improve workflows, documentation, guidance, and controls.

  
  

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  Build and present implementation plans, operating proposals, progress updates, metrics, risks, and recommendations to program leaders and stakeholders,demonstratingvalue and informing decisions about expansion of the capability.

  
  

Change enablement, communication, and capability building

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  Evangelize theResponsible AI process through clear, credible communications that explain the value of theRAI enablementrole, how teams should engage, and how strong governance can enable responsible innovation with greater speed and predictability.

  
  

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  Develop and deliver practical training, office hours, coaching, workshops, and other enablement mechanisms that help AI project teams and futureRAI SMEsconfidently navigate Responsible AI requirements.

  
  

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  Build strong relationships across business, technology, and compliance functions; influence without direct authority andfacilitatealignment when requirements, ownership, or pathways are ambiguous.

  
  

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  Capture feedback and lessons learned from project teams and reviewers and translate them into continuous improvements to theRAI SMErole, playbook, training, and Responsible AI operating model.

  
  

Required qualifications:

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  Minimum Bachelor's degree in Business, Engineering, Computer Science, Data Science, Biomedical Engineering, Public Policy, Law, Ethics, ora related field.

  
  

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  Minimum 7 years of experience in project/program management, governance, risk management, compliance, quality, regulatory, privacy, security, digital delivery, or AI/data-enabled transformation within a large, matrixed organization; healthcare, medtech, life sciences, or another regulated industry strongly preferred.

  
  

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  Demonstrated experience navigating and operationalizing complex compliance or governance processes, with the ability to quickly learn detailed requirements and translate them into clear, practical guidance for delivery teams.

  
  

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  Strong project and program management capabilities, including planning, workflow management, dependency and issue resolution, stakeholder coordination, escalation, metrics,agiledelivery andmeasurable outcome delivery.

  
  

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  Excellent written, verbal, facilitation, and presentation skills, withdemonstratedability to communicate complex requirements clearly to technical, business, compliance, and executive audiences.

  
  

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  Demonstrated ability to build new operational programs or capabilities from an emerging model, including defining roles, standard work, success measures, implementation plans, and scalable ways of working.

  
  

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  Strong change management and stakeholder engagement skills, including the ability to drive adoption, coach teams, build credibility, influence without direct authority, and champion a new role or process across an organization.

  
  

Preferred qualifications:

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  Experience with Responsible AI, AI governance, model risk management, data governance, technology risk, or other AI-related compliance processes.

  
  

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  Working knowledge of AI/ML solution delivery and relevant risk domains, including privacy, cybersecurity, quality, regulatory, data governance, and risk-based controls.

  
  

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  Familiarity with emerging AI regulatory andstandardslandscapes, 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.

  
  

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  Experience developing playbooks, standard operating models, process documentation, training, communications, or change enablement materials for enterprise programs.

  
  

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  Experience defining and using compliance and operational metrics, dashboards, service measures, orcontinuous-improvementmethods to improve process performance and reduce cycle time.

  
  

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  Certification or formal training in Project/Program Management, Agile, Change Management, Risk Management, Privacy, Security, Quality, Regulatory, or Compliance (e.g., PMP,Prosci,SAFe, or equivalent).