Hybrid Senior Principal, MLE – AI Governance

at Equinix

• Job title: Senior Principal, MLE – AI Governance
• Job type: Full Time
• Experience level: Senior
• Salary: $177,000 - $319,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Cyber Security
• Location requirements: Hybrid, Redwood City, United States

About the role

• Senior Principal of AI & Machine Learning Governance at Equinix shaping AI governance frameworks. Driving responsible AI innovation and ensuring compliance across the enterprise.

Responsibilities

• Develop AI/ML risk management methodologies aligned with regulatory guidelines, industry best practices, and internal risk policies
• Establish standards for model documentation, validation, monitoring, testing, and explainability
• Help define and maintain the enterprise AI/ML governance framework, including principles, policies, procedures, and lifecycle controls, in partnership with the Enterprise Data & Analytics organization
• Drive the creation and adoption of responsible AI principles across teams and products
• Oversee model cataloging, classification, and risk scoring across the enterprise
• Establish and maintain enterprise-wide AI audits, controls, and compliance monitoring mechanisms
• Introduce tools and platforms that support transparency, traceability, and accountability across the model lifecycle
• Ensure consistent governance coverage across internal models, customer-facing AI, vendor solutions, and generative AI use cases
• Monitor and interpret global AI regulations (e.g., EU AI Act, U.S. AI policies, industry-specific regulations)
• Ensure enterprise readiness for regulatory audits and certifications related to AI/ML
• Maintain governance alignment with data governance, cybersecurity, privacy, and software compliance frameworks
• Partner with AI/Data Science team, Data Engineering, Product Management, Legal, Compliance, Security, and Risk teams
• Support AI governance councils, steering committees, and working groups as technical subject matter expert
• Influence executive decision-making by providing insights on AI risks, opportunities, and governance maturity

Requirements

• Bachelor’s degree required; master’s or PhD in a relevant field (Computer Science, Data Science, Engineering) preferred
• 10+ years of experience in AI/ML, data science, risk management, governance, compliance, or related fields
• 5+ years in leadership roles with cross-functional influence in large, complex organizations
• Direct experience designing and operationalizing enterprise governance frameworks for AI, data, or technology risk
• Hands-on familiarity with machine learning development practices, MLOps processes, and model lifecycle management
• Experience with regulatory domains such as data privacy (GDPR, CCPA), AI-specific regulations (e.g., EU AI Act), information security, or financial/industry compliance
• Knowledge of common AI frameworks: NIST AI RMF, IEEE CertifAIED Ethical Transparency, DAMA DMBOK, DCAM EDM Council
• Strategic thinker with the ability to define and drive enterprise-wide governance frameworks
• Strong stakeholder management and influencing skills, especially across cross-functional teams
• Excellent communication and executive-level presentation capabilities
• Prior experience in Data Center, Cloud, Telecommunications.

Benefits

• Employee Assistance Program
• Health insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.
• Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
• Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge.