Senior Project Manager, Responsible AI

Boston Scientific • Georgetown, MA

11h • $106,800 - $202,900 • Hybrid

About The Position

Boston Scientific is advancing AI innovation across medical technology, enterprise operations, digital health, clinical workflows, and customer-facing solutions through clear governance, accountable decision-making, and responsible AI practices. The Senior Project Manager, Responsible AI acts as a process steward to promote Responsible AI governance and operationalize the cross-functional AI governance model. The role translates policies and workflows into an adopted, understood, scalable, metrics-driven program that supports appropriate governance for AI initiatives across divisions, regions, and functions.

Using change enablement practices, the role works hands-on with AI teams to implement and adopt Responsible AI processes. It partners with the Responsible AI team and Council, AI Engineering, Enterprise Architecture, Data and AI Governance, Legal, Privacy, Security, Regulatory, Quality, Compliance, and business stakeholders to embed controls in AI solutions and products while enabling teams to move with speed and clarity.

The position follows a hybrid work model, with employees required to work in a local office at least three days per week. Boston Scientific will not offer or take over sponsorship of an employment visa for this position at this time.

Requirements

• Bachelor's degree in Business, Engineering, Computer Science, Data Science, Biomedical Engineering, Public Policy, Law, Ethics, or a related field.
• At least 7 years of experience in project or program management, governance, risk management, compliance, quality, regulatory, privacy, security, digital delivery, or AI/data-enabled transformation within a large, matrixed organization.
• Experience navigating and operationalizing complex compliance or governance processes, quickly learning detailed requirements, and translating them into practical guidance for delivery teams.
• Strong project and program management capabilities, including planning, workflow management, dependency and issue resolution, stakeholder coordination, escalation, metrics, agile delivery, and measurable outcome delivery.
• Excellent written, verbal, facilitation, and presentation skills, including the ability to communicate complex requirements to technical, business, compliance, and executive audiences.
• Ability to build 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 driving adoption, coaching teams, building credibility, influencing without direct authority, and championing a new role or process across an organization.

Nice To Haves

• Healthcare, medtech, life sciences, or another regulated-industry experience is strongly preferred.
• 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 risk domains such as privacy, cybersecurity, quality, regulatory, data governance, and risk-based controls.
• Familiarity with emerging AI regulations and standards, 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 enterprise playbooks, operating models, process documentation, training, communications, or change enablement materials.
• Experience defining and using compliance and operational metrics, dashboards, service measures, or continuous-improvement methods 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, such as PMP, Prosci, or SAFe.

Responsibilities

• Develop expertise and enablement readiness for the end-to-end Responsible AI process, including requirements, decision points, roles, artifacts, controls, and escalation pathways.
• Partner hands-on with AI project teams from intake through approval and ongoing governance; clarify requirements, support completion of activities and documentation, engage reviewers, resolve issues, and help teams reach compliance efficiently.
• Serve as a trusted process resource, translating policies and compliance requirements into practical actions tailored to each project's use case, risk profile, development pathway, and business context.
• Identify blockers, unclear requirements, missing inputs, dependencies, and decisions; coordinate with relevant cross-functional stakeholders to keep projects moving.
• Define and refine responsibilities, engagement models, success pathways, standard work, service expectations, and decision and escalation mechanisms.
• Establish a repeatable operating model for engagement among process stewards, AI initiative owners, governance reviewers, and compliance functions, including entry criteria, checkpoints, handoffs, communications, and completion criteria.
• Collaborate with the change enablement team to integrate the Responsible AI process into existing governance processes and develop a comprehensive playbook with process maps, role guides, checklists, templates, FAQs, examples, training content, facilitation guidance, and lessons learned.
• Design the role and playbook for enterprise scale across divisions, regions, and functions while maintaining consistent Responsible AI standards and outcomes.
• Identify existing cohorts and design new cohorts to implement the capability and role and deliver a global Responsible AI enablement community at scale.
• Drive toward 100% adherence to applicable Responsible AI requirements for supported projects, with visibility into status, actions, owners, risks, exceptions, and completion.
• Track and analyze compliance rates, cycle times, aging, rework, recurring questions, handoff delays, and bottlenecks; use insights to reduce avoidable delays while maintaining governance rigor.
• Partner with process owners and compliance teams to simplify, clarify, standardize, and improve workflows, documentation, guidance, and controls.
• Develop and present implementation plans, operating proposals, progress updates, metrics, risks, and recommendations to program leaders and stakeholders.
• Promote the Responsible AI process through communications explaining the role, how teams should engage, and how governance can enable responsible innovation with greater speed and predictability.
• Develop and deliver training, office hours, coaching, workshops, and other enablement to help AI project teams and future Responsible AI subject-matter experts navigate requirements.
• Build relationships across business, technology, and compliance functions; influence without direct authority and facilitate alignment when requirements, ownership, or pathways are ambiguous.
• Capture feedback and lessons learned from project teams and reviewers and translate them into improvements to the role, playbook, training, and operating model.

Benefits

• Core and optional employee benefits are offered; details are available at www.bscbenefitsconnect.com.
• Exempt, non-sales roles may be eligible for an annual bonus target and long-term incentives, subject to plan eligibility and other requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior