Senior Principal, AI Data Governance

Who are we?

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.

Job Summary

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.  

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

People Leadership  

• 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

Qualifications

Knowledge and Experience  

• Bachelor's or Master's degree in Data Sci