Director, AI & Automation – Supply Chain

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 bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. 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 Director, AI & Automation is a senior business transformation leader accountable for setting the direction for, and leading the identification, prioritization, and delivery of, artificial intelligence, generative AI, intelligent automation, and digital workflow solutions across Procurement and the broader Operations organization. The role will translate enterprise and business priorities into a scalable portfolio of initiatives that simplify work, improve decision-making, strengthen controls, and create measurable operational and financial value.
Working under DIO-centered governance and in continuous partnership with DIO leadership and the DIO organizations, this role will own the business AI and automation roadmap and lead business initiatives from discovery and business-case development through solution design, deployment, adoption, and value realization. No AI or automation initiative will advance outside established DIO engagement, intake, architecture, platform, data, Information Security, and Cybersecurity processes. The Director will connect business process expertise with approved enterprise platforms and technical capabilities, including AI assistants and agents, machine learning, robotic process automation, workflow automation, intelligent document processing, process mining, analytics, and low-code solutions.
The role will serve as a strategic partner to Procurement, MCE, GDC, and other Operations senior leaders, leading the redesign of priority processes and scaling practical solutions that reduce manual effort, cycle time, cost, and operational risk. All opportunities, experiments, pilots, and production deployments will be planned and executed with DIO engagement and in alignment with enterprise architecture, Information Security, Cybersecurity, privacy, data governance, Responsible AI, and change-management requirements
Responsibilities
AI & Automation Strategy and Portfolio
Set the vision for and own a multi-year AI and automation roadmap aligned with Procurement, MCE, GDC, and broader Operations priorities
Partner with DIO leadership to apply its established intake and assessment process to identify, size, prioritize, and sequence opportunities based on business value, feasibility, risk, data readiness, security requirements, and scalability
Own business cases, delivery plans, resource requirements, investment asks, and benefit targets for the portfolio, with clear accountability and executive decision points
Monitor market and enterprise technology developments and advise senior leadership on practical use cases that address defined business problems rather than technology-driven experimentation
Business Partnership and Process Transformation
Serve as a trusted advisor to Procurement and Operations leaders to shape strategic priorities, map end-to-end processes, identify root causes, and redesign work before automating it
Direct focus toward high-value opportunities across source-to-pay, supplier management, contracting, risk and compliance, planning, project delivery, asset operations, and shared operational services
Partner with MCE and GDC leadership to improve productivity, throughput, service levels, data quality, cost performance, and execution predictability
Lead discovery efforts and ensure business needs are translated into clear process, data, user, control, and technology requirements
DIO-Led Governance, Partnership, and Solution Delivery
Serve as the primary business leader and counterpart to DIO leadership and DIO product, engineering, architecture, data, security, and platform teams, ensuring DIO is engaged from initial opportunity identification through planning, delivery, production approval, and ongoing support
Co-develop solution strategies and delivery roadmaps with DIO within DIO governance and using DIO-approved enterprise capabilities, including generative AI, agentic AI, machine learning, RPA, workflow, intelligent document processing, process mining, and low-code tools
Provide business leadership across the full lifecycle—discovery, prototyping, design, testing, deployment, stabilization, support transition, and continuous improvement—while DIO provides the required technology governance, architecture, security, and platform engagement
Direct and align business subject-matter experts, DIO teams, Information Security, Cybersecurity, vendors, implementation partners, and managed-service providers to deliver on scope, schedule, quality, security, and value commitments
DIO-Centered Governance, Information Security, and Responsible AI
Operate within DIO-owned governance, design standards, documentation requirements, stage gates, decision rights, and operating routines; do not initiate or advance AI and automation work without the appropriate DIO engagement and approvals
Ensure Information Security and Cybersecurity are engaged through DIO at the earliest stage and maintain alignment throughout design, testing, deployment, monitoring, and change management
Ensure solutions comply with DIO requirements for enterprise architecture, approved platforms, cybersecurity, information security, privacy, data governance, records management, legal and regulatory obligations, and Responsible AI
Partner with DIO, Information Security, and Cybersecurity leadership to define controls for human oversight, identity and access, data protection, testing, model and output quality, exception handling, monitoring, incident response, and issue escalation
Provide transparent reporting to executive, business, and DIO stakeholders on portfolio health, dependencies, risks, approvals, costs, benefits, adoption, and operational performance
Adoption, Capability Building, and Value Realization
Lead stakeholder, communication, training, and adoption strategies that embed new ways of working and deliver sustained business outcomes
Champion AI and automation fluency across Procurement and Operations through playbooks, reusable patterns, communities of practice, and role-based learning
Establish baselines and own value tracking across productivity, cycle time, cost, quality, compliance, user experience, adoption, and capacity released for higher-value work
Deliver executive-ready recommendations, portfolio updates, and value-realization reporting to senior leadership; take decisive action when initiatives are not delivering expected outcomes
Qualifications
Bachelor’s degree in Business, Operations, Supply Chain, Procurement, Information Systems, Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience
Typically, 10+ years of progressive experience in AI, intelligent automation, digital transformation, process excellence, product or program management, or technology-enabled operations, including leadership of complex cross-functional initiatives
Demonstrated experience identifying, prioritizing, and delivering AI and automation use cases from concept through production, adoption, and value realization
Working knowledge of generative AI, AI agents, machine learning, RPA, workflow automation, intelligent document processing, process mining, analytics, APIs, and low-code platforms
Experience improving end-to-end business processes and translating operational needs into business requirements, solution designs, implementation plans, and measurable outcomes
Strong understanding of DIO-centered technology governance and the role of enterprise architecture, Information Security, Cybersecurity, data governance, privacy, controls, testing, monitoring, and Responsible AI across the solution lifecycle
Proven ability to partner with senior business leaders, technology organizations, process owners, vendors, and geographically distributed teams in a global matrixed environment
Excellent business-case development, program leadership, analytical problem-solving, facilitation, executive communication, and stakeholder-influence capabilities
Preferred Qualifications
Advanced degree in Business, Operations, Supply Chain, Information Systems, Computer Science, Engineering, Data Science, or a related field
Experience applying AI and automation in Procurement, source-to-pay, supplier management, infrastructure delivery, data center, engineering, construction, or asset-intensive operations
Experience with enterprise platforms and ecosystems such as Microsoft Azure and Power Platform, Copilot, UiPath, ServiceNow, Celonis, Oracle, Coupa, or comparable technologies
Experience with Lean, Six Sigma, process reengineering, product management, agile delivery, o

Skills
Azure, Machine Learning, Artificial Intelligence, Generative AI, Product Management, Agile, Prototyping, Procurement, Documentation