Senior Program Manager, AI Partnerships and Enablement

Boston Scientific • Marlborough, MA

2d • Hybrid

About The Position

The healthcare industry is experiencing rapid digital transformation, reshaping patient experiences and expectations—and creating a powerful opportunity to advance science through innovative, insights-driven digital solutions. As the Senior Program Manager, AI Partnerships and Enablement, you will lead and accelerate MedTech AI initiatives by driving adoption of AI capabilities across programs, managing complex internal and external partner relationships, and enabling organization-wide AI transformation through capability building and change management. This role demands strong program execution discipline, stakeholder influence, and the ability to translate AI opportunity into measurable business and clinical impact in a dynamic, matrixed environment.

Requirements

• Minimum Bachelor’s degree in engineering, computer science, business, or healthcare (or related field).
• Minimum 7 years of program or project management experience, with 3 years in AI, MedTech, healthcare, or data-driven initiatives.
• Demonstrated ability to lead complex, multi-stakeholder programs from concept through adoption, including external technology partners and internal business units.
• Strong program execution discipline (planning, risk management, dependency management, outcomes tracking) and the ability to structure ambiguous problems into deliverable workstreams.
• Excellent communication and influence skills with the ability to engage stakeholders at all levels.
• Working knowledge of regulatory/compliance considerations in MedTech and healthcare AI.

Nice To Haves

• Advanced degree (MBA, MS, or PhD).
• Preferred experience in medical device industry in a similar capacity
• Proven change-management leadership driving adoption of new digital/AI capabilities across clinical and business workflows.
• Demonstrated success building trusted partnerships and operating effectively in highly matrixed organizations.

Responsibilities

• Lead enterprise AI transformation programs: Own strategy, multi-year roadmap, governance, and execution for large, cross-collaborative AI programs spanning one or multiple functions; manage scope, milestones, dependencies, and outcomes across multiple workstreams.
• Lead an enterprise AI Enablement Council: Build and program manage a cross-functional council that integrates technology enablement, workforce transformation, and workforce upskilling; establish shared priorities, roadmaps, decision rights, dependencies, and measures of success to ensure coordinated execution and adoption across the organization.
• Drive measurable value realization: Define value cases and KPIs (e.g., cycle time reduction, quality improvements, productivity gains, cost avoidance, innovation throughput) and establish measurement and reporting mechanisms to track realization from delivery through sustained adoption.
• Establish program operating cadence and governance: Support and run executive steering forums, portfolio prioritization, decision logs, and risk/issue management; ensure clear roles and accountability across all functions, divisions and regions.
• Drive AI change enablement at scale: Design and execute adoption strategies across R&D and clinical/business workflows, including stakeholder mapping, communications, training, champion networks, feedback loops, and reinforcement plans to achieve sustained behavioral change toward AI-enabled decision-making.
• Support AI capabilities and organizational literacy: Lead team that develops and delivers capability-building programs tailored to key personas (for example, R&D engineers/scientists, clinicians, product/program leaders), covering AI fundamentals, practical application patterns, data stewardship, and governance expectations.
• Enable process improvement with AI: Identify, prioritize, and operationalize AI-enabled improvements to internal processes (e.g., value tracking, responsible AI process, metrics and scorecards); help redesign workflows for “AI-in-the-loop” execution with appropriate human review and controls.
• Define scalable delivery playbooks and operating model: Create reusable intake/triage, feasibility, validation, deployment readiness, and monitoring templates; establish standards for how teams propose, evaluate, govern, and deploy AI solutions consistently.
• Lead and govern strategic partnerships: Develop and manage strategic partnerships with AI vendors, consultants, health systems, and healthcare companies; define joint roadmaps, delivery models, success metrics, and partner governance, and hold partners accountable for outcomes.
• Serve as senior stakeholder influencer: Act as the primary point of contact and translator across technical, clinical, and business stakeholders; align executive leadership on objectives, tradeoffs, and investment decisions; drive timely decision-making and remove barriers to execution.
• Ensure risk-aware delivery in regulated environments: Embed regulatory, patient safety, privacy, cybersecurity, and Responsible AI considerations into program delivery; partner with Quality/Regulatory to ensure fit-for-purpose governance (e.g., SaMD-aligned design controls, documentation/traceability, validation expectations, monitoring plans) and audit-ready evidence generation.

Benefits

• The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com— will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role.
• Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.
• At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
• Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
• Compensation for exempt, non-sales roles may also include variable compensation, i.e., 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