Enterprise AI Standards Program Lead

Reposted 5 Hours Ago
Be an Early Applicant
Arden Hills, MN, USA
In-Office
107K-203K Annually
Senior level
Healthtech
The Role
Leads Boston Scientific’s enterprise AI standards and governance program, including standards lifecycle management, documentation, vendor onboarding playbooks, exception handling, adoption initiatives, metrics, and leadership reporting. Partners with architecture, cybersecurity, privacy, legal, quality, responsible AI, and platform teams to translate requirements into practical guidance for AI tools and platforms. Requires strong technical writing, governance program management, generative AI knowledge, stakeholder influence, and cross-functional execution without direct authority.
Summary Generated by Built In

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.       

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.

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.


Work model, sponsorship, relocation:

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.

  • Experience developing centralized standards repositories, governance portals, knowledge management systems or self-service documentation resources.

  • 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.


Requisition ID: 637419

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 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 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.

Skills Required

  • Bachelor's degree in information technology, computer science, business administration, risk management, a related discipline, or equivalent practical experience
  • At least 5 years of experience in AI governance, technology governance, program management, architecture operations, risk management, compliance, or a related discipline
  • 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 for translating technology, security, privacy, and risk requirements into 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 platforms such as SharePoint, Confluence, ServiceNow, or Jira
  • Ability to facilitate cross-functional decisions, influence stakeholders, and drive outcomes without direct authority
  • Strong organizational, prioritization, and program execution skills managing multiple workstreams and competing deadlines
  • Strong analytical, problem-solving, and communication skills, including presenting program status, risks, recommendations, and decisions to senior leadership
  • Experience in medical technology, healthcare, life sciences, or another highly regulated industry
  • Familiarity with the NIST AI Risk Management Framework and ISO/IEC 42001
  • Experience supporting enterprise AI adoption, responsible AI initiatives, or generative AI governance programs
  • Experience with third-party risk management, vendor due diligence, audit evidence management, or regulatory compliance processes
  • Experience developing centralized standards repositories, governance portals, knowledge management systems, or self-service documentation resources
  • Familiarity with Microsoft Copilot, Claude Code, Azure AI Foundry, Amazon Bedrock, or Snowflake Cortex
  • Relevant professional certification in program management, AI governance, risk management, compliance, quality, or enterprise architecture

Boston Scientific Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Boston Scientific and has not been reviewed or approved by Boston Scientific.

  • Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, and disability insurance alongside mental health resources. Family planning support and broader care navigation offerings further strengthen the health-related value of the package.
  • Retirement Support — Retirement benefits stand out through a 401(k) match described as best-in-class and supported by profit sharing and an employee stock purchase plan. High participation in retirement programs is also highlighted as part of the overall financial benefits footprint.
  • Leave & Time Off Breadth — Time off is described as generous, with reports of 20+ vacation days and up to four weeks in some roles, plus paid holidays and sick leave. Longer-term options such as extended unpaid family leave and a personal enrichment sabbatical expand flexibility beyond standard PTO.

Boston Scientific Insights

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The Company
HQ: Marlborough, MA
52,374 Employees
Year Founded: 1979

What We Do

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 40 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 health care. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. For more information, visit www.bostonscientific.com and connect with us on X, Instagram, and Facebook. At Boston Scientific, you will find purpose, a place to grow and opportunities to cultivate your passions. To search and apply for open positions, visit https://bostonscientific.eightfold.ai/careers. You may also review our social media guidelines at http://www.bostonscientific.com/social.

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