Senior Principal, AI Data Governance

Equinix•Tampa, FL

1d•Onsite

About The Position

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. The Enterprise Data Governance team is part of the Data Innovation Office within Enterprise Data and Analytics organization (EDNA). Our mission is to implement an enterprise model for the governance of data at Equinix to elevate data as a critical asset which supports operational velocity and efficiency. We are seeking an AI Data Governance Senior Principal to lead the responsible and ethical use of AI. The AI Data Governance Senior Principal is responsible for the definition and operationalization of the enterprise AI framework, policy, standards, and practices to support enterprise business objectives. Partners closely with global product and governance teams to establish trusted data foundation(s) and supports AI model design, development, transparency, and accountability. Leverages experience in AI/ML, audit, and/or information security to conduct AI risk assessments, own risk remediation, and meet regulatory requirements. Builds close partnerships within legal, audit, and compliance teams to continually refine and improve AI Data Governance program as regulatory changes or enterprise strategies change. Establishes AI education and awareness programs, evaluates 3rd party AI solutions, implements governance tools and technologies, and stays updated with industry best practices.

Requirements

Bachelor's or Master's degree in Data Science, Engineering, or a related field
Substantial experience with minimum of 5 years of experience in information security, data management, compliance, audit, governance, or a related field
Expertise in global AI standards, laws, and regulatory statutes
Expertise in GenAI, Copilot, and knowledge management tools
Experience with multiple data platforms (e.g., Snowflake, BigQuery), runtime security (Protect AI, Prisma AIRS), cloud (GCP, Apigee, Kong) or model scanning
Experience operating in a highly cross-functional, multinational business
Experience managing a team of data professionals in addition to contingent and outsourced labor
Analytical thinker and problem solver with the ability to work under pressure and multitask while managing a team and driving process improvements
Strong stakeholder management and influencing skills, especially across cross-functional teams
Excellent communication and executive-level presentation capabilities
Proven experience implementing and managing governance or data management practices in a complex, global enterprise environment
Experience in data compliance, information security and best practice
Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
Ability to demonstrate ownership and proactively drive initiatives
Knowledge of common AI frameworks: NIST AI RMF, IEEE CertifAIED Ethical Transparency

Nice To Haves

Prior experience in data center, cloud, telecommunications industries desirable
Certified AI Governance Professional (AIGP) from the International Association of Privacy Professionals (IAPP) a plus

Responsibilities

Develops and implements AI-specific policies, standards, and practices to support the AI data governance strategy, addressing data governance, responsible use, accountability, and risk management
Establishes AI intake, review, and approval processes which clearly communicate responsibilities, decision-making authority, and assigned accountability
Establishes and maintains enterprise-wide AI audit plans, controls, and compliance monitoring mechanisms
Leads risk closure through collaboration with program and project teams
Performs project level risk analysis to determine success criteria or identify risks for model development outcomes
Oversees the selection and management of vendors providing AI solutions, ensuring compliance with organizational policies and regulatory requirements
Defines and implements enterprise processes and methodologies to assess, measure, manage, and improve the quality and reliability of AI system outcomes
Supports AI guiding panel (or multi-committee approach) ensuring appropriate oversight and governance of AI systems.
Lead one or more working groups focused on responsible usage of data, compliance / audit, and monitoring
Assists in maintaining centralized inventory of all AI models and solutions used across the organization
Collaborates with legal and audit on AI-related matters taking appropriate corrective action in the case of non-compliance including investigations and remediation
Drives the evaluation, selection, and implementation of AI data governance tools and technologies to support explainability, performance, data quality and lineage, model risk, and ownership
Develops and delivers AI education and awareness programs and stay updated with industry best practices.
Maintain current knowledge of applicable AI-related regulations and government policies, ensuring organizational compliance
Complies with all policies and standards
Manage through influence to improve AI program performance by motivating, developing and coaching
Recommend people development strategy, including enhancement of capabilities
Provide leadership and guidance for escalations to other strategy and insights / cross-functional stakeholders
Challenge existing managed processes based on industry best practice and trends to ensure Equinix is maintaining a best-in-class approach
Model the Equinix culture, Transformational Leadership behaviors and Magic of Equinix values

Benefits

Competitive, inclusive, sustainable, connected and efficient benefits
Employee Assistance Program
Health, life, disability and voluntary plans (US)
Retirement plan (US)
Accrued amount of PTO each pay period (US)
Various paid holidays (US)
Healthcare coverage designed to complement the provincial healthcare system (Canada)
Life, disability and optional benefit plans (Canada)
Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA) (Canada)
Vacation and personal time (Canada)
Various paid holidays (Canada)