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Senior Principal, MLE - AI Governance

Equinix

$177,000 - $319,000
Dec 16, 2025
Dallas, TX, US
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Equinix is looking for a Sr. Principal of AI & Machine Learning Governance to establish, operationalize, and continuously improve the enterprise-wide governance framework for AI, ML, and advanced analytics, ensuring all initiatives are safe, reliable, transparent, lawful, and aligned with business goals.

Requirements

  • 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

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
  • 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

Other

  • 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
  • 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