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BS
Boston Scientific
Senior Program Manager, AI Partnerships and Enablement
Career Insights for Director of Program Management
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Based on Massachusetts data
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What they do
A Director of Program Management directs ongoing program activity, or a group of program managers, for a company or organization. May be responsible for strategic direction.
$180,016 / year median in Massachusetts
+8% projected growth
Job Description
Additional Location(s): US-MA-Marlborough
Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing
- whatever your ambitions.
About the role:
Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day. 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.Work mode:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week.Your responsibilities will include:
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 enterpriseAI 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 withAI:
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.Required qualifications:
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.Preferred qualifications:
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.Requisition ID:
633639Minimum Salary:
$97900Maximum Salary:
$186000 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC)- see www.