Data and AI Capabilities Lead

Additional Location(s): US-MA-Marlborough; US-MN-Arden HillsDiversity - Innovation - Caring - Global Collaboration - Winning Spirit - High PerformanceAt 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: The Data and AI Capabilities Lead will help Boston Scientific identify, shape, and advance high-value opportunities that use data, generative AI, agentic AI, and reusable AI capabilities to solve meaningful business problems. This role sits at the intersection of business strategy, data, AI, product discovery, and technology delivery. The ideal candidate will partner with divisions, regions, and functions to move from early ideas into well-formed, investment-ready opportunities with clear value, feasibility, data readiness, adoption needs, and reusable capability fit. The Data and AI Capabilities Lead will focus on the front end of the product lifecycle: strategic relationship building, business problem discovery, workflow analysis, AI/data feasibility, solution shaping, and value realization planning. The role will work closely with Product Owners, AI Core Services, data teams, architecture, security, engineering, and business stakeholders to ensure the right opportunities enter delivery and that funded solutions are positioned to achieve real business impact. 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. 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 (3) days per week. Relocation assistance is not available for this position at this time. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Your responsibilities will include: Build trusted relationships with business sponsors, AI councils, functional leaders, data owners, and digital partners across divisions, regions, and functionsServe as a strategic Data and AI thought partner, helping stakeholders understand what AI can do, where data readiness matters, and where AI may not be the right solutionIdentify similar needs across business areas and help combine, redirect, or scale opportunities to avoid duplicative one-off solutionsFacilitate workshops, interviews, and working sessions to understand current workflows, pain points, decision points, data needs, users, operational constraints, and desired outcomesEvaluate opportunities using value, feasibility, repeatability, scale, data readiness, adoption readiness, and strategic alignmentAssess what data is required to enable a business opportunity, where that data lives, whether it is landed, governed, accessible, and usable, and where gaps or quality issues may affect feasibility or valuePartner with data teams, architecture, AI engineering, AI Core Services, and AI platform teams to understand technical constraints, data dependencies, reusable services, and solution pathwaysShape end-to-end solution concepts that may combine multiple capabilities into cohesive workflow solutionsIdentify recurring demand patterns that should inform the AI Core Services and AI Farm capability roadmapSupport business sponsors as they assess expected ROI, value drivers, adoption assumptions, and operational impactsPartner with Product Owners to ensure discovery outputs are clear enough to support estimation, roadmap planning, backlog creation, and delivery handoffDefine adoption considerations early, including business process changes, user behavior changes, training needs, stakeholder readiness, and ownership after launchHelp ensure funded solutions are designed not only to be delivered, but to be used, adopted, measured, and sustainedRequired qualifications: Bachelor’s degree in Business, Engineering, Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experienceMinimum of five (5) years of professional experience in digital product strategy, AI/data product management, business transformation, solution consulting, enterprise technology, experience architecture, or related roles; or minimum of eight (8) years of such professional experience without a Bachelor’s degreeStrong familiarity with large language models (LLMs), AI agents, prompt engineering, and their application in enterprise use casesStrong understanding of data and AI concepts, including generative AI, large language models, agentic AI, analytics, data platforms, integrations, and enterprise data readinessTechnical fluency and curiosity, with the ability to engage effectively with engineers and architects on topics such as APIs, MCPs, integrations, data flows, application architecture, and system dependenciesDeep interest in emerging AI technologies and their real-world applications, with the ability to quickly learn unfamiliar technologies, tools, and concepts as needed to deliver solutionsDemonstrated ability to partner with business stakeholders to define problems, map workflows, identify value drivers, and shape technology-enabled solutionsExperience working with data, architecture, engineering, security, platform, and/or AI/ML teams to assess feasibility and solution optionsAbility to understand whether required data exists, where it lives, how usable it is, and how data quality, governance, or access may affect solution feasibilityStrong facilitation, communication, and executive presence, with the ability to influence without direct authorityDemonstrated ability to challenge assumptions, push back constructively while maintaining stakeholder trustStrong analytical and strategic thinking skills, with the ability to connect business needs, data assets, AI capabilities, technical constraints, and adoption requirementsComfort operating in ambiguity and bringing structure to early-stage ideasFlexibility to collaborate across global time zones as business needs requirePreferred qualifications:Experience shaping or delivering AI, GenAI, agentic AI, data, analytics, or automation solutions in an enterprise environmentExperience with healthcare, medtech, life sciences, regulated industries, or complex global organizationsExperience with product discovery, design thinking, business process redesign, value case development, or digital transformationFamiliarity with reusable platform capabilities, shared services, or enterprise capability roadmapsExperience supporting annual planning, portfolio prioritization, investment shaping, or business case developmentAbility to translate technical concepts into clear business language for non-technical stakeholdersStrong product mindset, with a focus on outcomes, adoption, iteration, and measurable valueRequisition ID: 634255Minimum Salary: $106800Maximum Salary: $202900The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see 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).For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at  and follow us on LinkedIn.Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.