Senior Responsible AI Program Lead

Boston Scientific Corporation; Marlborough (MA); Híbrido; USD 107.000 - 203.000; Jornada completa

Descripción de la vacante

Boston Scientific Corporation in Marlborough, MA, seeks a Senior Project Manager, Responsible AI, to lead governance of AI initiatives across divisions. You will translate policy into practical guidance, collaborate with AI, legal, privacy, security, regulatory teams, and enable rapid, compliant delivery.

With a strong background in project management and governance, you will build playbooks, drive end‑to‑end processes, track compliance metrics, and escalate risks to leadership.

Formación

• Minimum Bachelor's degree in Business , Engineering, Computer Science, Data Science, Biomedical Engineering, Public Policy, Law, Ethics, or a 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, metrics, agile delivery and measurable outcome delivery.
• Excellent written, verbal, facilitation, and presentation skills, with demonstrated ability 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.

Responsabilidades

• Responsible AI process stewardship and hands‑on project enablement
• Develop deep expertise and enablement readiness for the 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 required activities and 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 project’s use case, risk profile, development pathway, and business context.
• Proactively identify blockers, 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.
• 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 how process stewards engage with AI initiative owners, governance reviewers, and compliance functions, including entry criteria, checkpoints, handoffs, communication expectations, and completion criteria.
• Collaborate closely with the change enablement team to incorporate the RAI process within existing governance processes; design a framework that enables high process adoption, including creating a 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 scale so the capability can be replicated across divisions, regions, and functions while maintaining consistent Responsible AI standards and outcomes.
• Identify existing and design new cohorts through which a successful implementation of the capability and role as well as a global RAI enablement community can be delivered at scale.
• Drive toward 100% adherence to applicable Responsible AI process requirements for supported projects, with clear visibility to project status, required actions, 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 while maintaining governance rigor.
• Partner with Responsible AI process owners and cross‑functional compliance teams to identify opportunities 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 stakeholders, demonstrating value and informing decisions about expansion of the capability.
• Change enablement, communication, and capability building
• Evangelize the Responsible AI process through clear, credible communications that explain the value of the RAI enablement role, 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 future RAI SMEs confidently navigate Responsible AI requirements.
• Build strong 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 continuous improvements to the RAI SME role, playbook, training, and Responsible AI operating model.

Descripción del empleo

Boston Scientific Corporation in Marlborough, MA, seeks a Senior Project Manager, Responsible AI, to lead governance of AI initiatives across divisions. You will translate policy into practical guidance, collaborate with AI, legal, privacy, security, regulatory teams, and enable rapid, compliant delivery.

With a strong background in project management and governance, you will build playbooks, drive end‑to‑end processes, track compliance metrics, and escalate risks to leadership.