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 roleand using change enablement practicesyou willassistteamshands onto achieve full organizational implementation adoptionand practice ofResponsible AIprocesses. You will work closely withthe Responsible AI team and CouncilAI 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 requiringemployees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or takeover sponsorship of an employment visa for this position at this time.

Your responsibilities will include:

Responsible AI process stewardship and hands-on project enablement

• Develop deepexpertiseandenablementreadiness forthe end-to-end Responsible AI process requirements decision points roles artifacts controls and escalation pathways.

• 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.

• 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 projects use case risk profile development pathway and business context.

• 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

• 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.

• 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.

• 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.

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

• Identifyexisting anddesignnewcohortsthrough whichasuccessfulimplementation ofthe capability androleas well as a global RAI enablementcommunitycan be deliveredat scale

Compliance performance process improvement and program delivery

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

• 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.

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

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

Change enablement communication and capability building

• 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.

• 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.

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

• 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:

• Minimum Bachelors degree in Business Engineering Computer Science Data Science Biomedical Engineering Public Policy Law Ethics ora related field.

• 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.

• 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.

• Strong project and program management capabilities including planning workflow management dependency and issue resolution stakeholder coordination escalation metricsagiledeliveryandmeasurable outcome delivery.

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

• 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.

• 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:

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

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

• 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.

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

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

• Certification or formal training in Project/Program Management Agile Change Management Risk Management Privacy Security Quality Regulatory or Compliance (e.g. PMPProsciSAFe or equivalent).