Enterprise AI Standards Program Lead

Boston Scientific Corporation; Marlborough (MA); Hybrid; USD 107,000 - 203,000; Full time

Job summary

Boston Scientific Corporation seeks an Enterprise AI Standards Program Lead to own governance standards, lifecycle management, and vendor onboarding playbooks. You will collaborate with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, Responsible AI and platform owners to deliver clear, actionable guidance aligning with enterprise requirements.

The role emphasizes governance program management, technical writing, and the ability to influence without direct authority across

Qualifications

• Bachelor's degree or equivalent practical experience in IT, CS, business or risk management.
• Minimum 5 years' experience in AI governance, technology governance, program management or related fields.
• Experience leading complex governance programs independently.
• Experience creating enterprise standards, procedures and governance frameworks.
• Experience developing third-party governance playbooks and onboarding procedures.
• Strong ability to translate complex requirements into clear guidance.

Responsibilities

• Lead the enterprise AI standards program, including intake, development, review, approval, publication and retirement.
• Maintain a prioritized library of AI governance standards and approved-use guidance.
• Maintain a centralized repository of AI governance documentation with ownership, version control and approvals.
• Develop governance playbooks for vendors and partners, defining onboarding requirements and data access controls.
• Coordinate third-party AI onboarding reviews with internal sponsors and stakeholders.
• Develop practical governance guidance for tools and platforms (e.g., Copilot, Claude Code, Azure AI Foundry, Bedrock, Snowflake Cortex).
• Align AI standards with enterprise policies and regulatory expectations.
• Identify gaps and outdated governance docs; drive timely resolution with stakeholders.
• Manage the governance exception lifecycle and track expiration and actions.
• Establish governance metrics and reporting; present to senior leadership.
• Drive adoption of AI governance through training and communications.
• Facilitate cross-functional decisions and maintain clear accountability for approvals.
• Identify opportunities to simplify processes and improve documentation accessibility.

Skills

Governance program management

Stakeholder influence

Technical writing

Generative AI knowledge

Cross-functional collaboration

Education

Bachelor's degree in IT/CS/Business/Risk management or related discipline

Tools

SharePoint

Confluence

ServiceNow

Jira

Job description

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Additional Location(s):

US-MA-Marlborough; US-MN-Arden Hills

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.

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 are advancing the responsible adoption of artificial intelligence (AI) to drive innovation, improve operational efficiency and support technologies that transform patient lives. We are seeking a Enterprise AI Standards Program Lead to lead the development, implementation and continuous improvement of enterprise AI governance standards, procedures and guidance. This individual contributor role is responsible for establishing practical, scalable governance processes that enable teams to adopt AI technologies responsibly while aligning with enterprise security, privacy, quality, regulatory and business requirements.

In this role, you will own the enterprise AI standards program, including standards lifecycle management, third-party onboarding playbooks, governance documentation, exception management and adoption initiatives. This incumbent will collaborate with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, Responsible AI and technology platform owners to translate complex requirements into clear, actionable guidance.

The incumbent combines strong governance program management experience, exceptional technical writing skills and a working understanding of generative AI technologies. Success requires the ability to influence stakeholders, coordinate cross-functional decisions and deliver measurable governance outcomes without direct reporting authority.

This position may be based in Marlborough, Massachusetts, or Arden Hills, Minnesota. 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. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

Your responsibilities will include:

Lead the enterprise AI standards program, including standards intake, development, review, approval coordination, publication, periodic assessment, exception management and retirement.

Establish and maintain a prioritized library of AI governance standards, procedures, templates, frequently asked questions and approved-use guidance in collaboration with subject matter experts.

Maintain a centralized, searchable repository of AI governance documentation, including standards ownership, version control, review schedules, decisions, approvals and exceptions.

Develop and maintain governance playbooks for external vendors, service providers and implementation partners, defining onboarding requirements, due diligence, supporting evidence, approved technology patterns, data access controls and offboarding procedures.

Coordinate third-party AI onboarding reviews with internal business sponsors and functional stakeholders, tracking requirements, decisions and outstanding actions through completion.

Develop and communicate practical governance guidance for enterprise AI tools and platforms, including Microsoft Copilot, Claude Code, Azure AI Foundry, Amazon Bedrock and Snowflake Cortex.

Partner with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, Responsible AI and platform owners to align AI standards with approved technical requirements, enterprise policies and applicable regulatory expectations.

Identify gaps, inconsistencies and outdated governance documentation, and coordinate timely resolution with accountable stakeholders.

Manage the AI governance exception lifecycle, including intake, risk documentation, evidence collection, approval coordination, expiration tracking and follow-up.

Establish governance performance metrics and reporting to monitor standards coverage, review timeliness, third-party onboarding efficiency, exception management and adoption.

Present governance program performance, emerging risks, unresolved decisions and improvement recommendations to senior leadership.

Drive awareness and adoption of AI governance standards through training, self-service resources, stakeholder communications and continuous feedback.

Facilitate cross-functional discussions, resolve competing priorities and influence governance decisions while maintaining clear accountability for technical and platform approvals.

Identify opportunities to simplify governance processes, improve documentation accessibility, reduce onboarding complexity and strengthen enterprise AI governance maturity.

Required qualifications:

• Bachelor's degree in Information technology, computer science, business administration, risk management or a related discipline, or equivalent practical experience.
• Minimum of 5 years' experience in AI governance, technology governance, program management, architecture operations, risk management, compliance or a related discipline.
• Demonstrated experience independently leading complex governance programs, standards initiatives or cross-functional technology processes.
• Experience developing, implementing and maintaining enterprise standards, procedures, governance frameworks, technical documentation or operational guidance.
• Experience creating third-party governance playbooks, onboarding procedures, runbooks or structured processes for vendors and external partners.
• Strong technical writing and editing skills, with the ability to translate complex technology, security, privacy and risk requirements into clear, actionable guidance.
• Working knowledge of generative AI, AI agents, cloud AI platforms, AI evaluation and monitoring, identity and access management, cybersecurity, privacy and responsible AI principles.
• Experience using enterprise documentation, collaboration or workflow management platforms such as SharePoint, Confluence, ServiceNow or Jira.
• Demonstrated ability to facilitate cross-functional decisions, influence stakeholders and drive outcomes without direct authority.
• Strong organizational, prioritization and program execution skills, with the ability to manage multiple workstreams and competing deadlines.
• Strong analytical, problem-solving and communication skills, including experience presenting program status, risks, recommendations and decisions to senior leadership.

Preferred qualifications:

Experience working in medical technology, health care, life sciences or another highly regulated industry.

Familiarity with AI governance and risk management frameworks, including the NIST AI Risk Management Framework and ISO/IEC 42001.

Experience supporting enterprise AI adoption, responsible AI initiatives or governance programs involving generative AI tools and platforms.

Experience with third-party risk management, vendor due diligence, audit evidence management or regulatory compliance processes.

Familiarity with enterprise AI platforms and services, including Microsoft Copilot, Claude Code, Azure AI Foundry, Amazon Bedrock or Snowflake Cortex.

Relevant professional certifications in program management, AI governance, risk management, compliance, quality or enterprise architecture.

Minimum Salary: $106800

Maximum Salary: $202900

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).

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 byprovidinga 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,neurologicaland urological diseases and conditions. Learn more at www.bostonscientific.com 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.

Nearest Major Market: Boston
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