Enterprise AI Standards Program Lead

Boston Scientific • Arden Hills, MN

11h • $106,800 - $202,900 • Hybrid

About The Position

Boston Scientific is seeking an Enterprise AI Standards Program Lead to lead the development, implementation and ongoing improvement of enterprise AI governance standards, procedures and guidance. This individual contributor will establish practical, scalable governance processes that enable responsible AI adoption while aligning with enterprise security, privacy, quality, regulatory and business requirements.

The role owns the enterprise AI standards program, including standards lifecycle management, third-party onboarding playbooks, governance documentation, exception management and adoption initiatives. The lead will collaborate with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, Responsible AI and technology platform owners to turn complex requirements into clear, actionable guidance. Success requires governance program management experience, strong technical writing, working knowledge of generative AI, and the ability to influence stakeholders and coordinate cross-functional decisions without direct reporting authority.

The position may be based in Marlborough, Massachusetts, or Arden Hills, Minnesota, and follows a hybrid work model requiring employees to work from a local office at least three days per week. Sponsorship of employment visas and relocation assistance are not available for this position.

Requirements

• Bachelor's degree in information technology, computer science, business administration, risk management or 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.
• 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, including 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.

Nice To Haves

• 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.

Responsibilities

• 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 with subject matter experts.
• Maintain a centralized, searchable AI governance documentation repository, including ownership, version control, review schedules, decisions, approvals and exceptions.
• Develop and maintain governance playbooks for external vendors, service providers and implementation partners, covering onboarding requirements, due diligence, evidence, approved technology patterns, data access controls and offboarding.
• Coordinate third-party AI onboarding reviews with business sponsors and functional stakeholders, tracking requirements, decisions and outstanding actions through completion.
• Develop and communicate 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 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 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.

Benefits

• Core and optional employee benefits are offered; details are provided at www.bscbenefitsconnect.com.
• Exempt non-sales roles may be eligible for an annual bonus target and long-term incentives, subject to plan eligibility and other requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level