Enterprise AI Standards Program Lead

Boston Scientific • Marlborough, MA

3d • $106,800 - $202,900 • Hybrid

About The Position

Boston Scientific is seeking an 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 establishes practical, scalable governance processes that support 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 position collaborates with Enterprise Architecture, Cybersecurity, Privacy, Legal, Quality, Responsible AI, and technology platform owners to translate complex requirements into clear, actionable guidance. It calls for governance program management experience, strong technical writing skills, and working knowledge of generative AI. The successful candidate influences stakeholders, coordinates cross-functional decisions, and delivers measurable governance outcomes 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. Visa sponsorship and relocation assistance are not available.

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, including 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, FAQs, 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, covering 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.

Benefits

• Core and optional employee benefits are offered; details are available at www.bscbenefitsconnect.com.
• Exempt, non-sales roles may include 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: Senior