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Senior Vice President, Data Science & AI

Equinix
Redwood City, United Statesfull_timeVerifiedPosted 11 Aug 2025
💰 $461,000/yr($274,000/yr$461,000/yr)

About the role

Who are we?

Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. 

 

A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. 

Role Summary

The SVP Data Science & AI will lead our global data science and AI organization through bold and visionary-focused execution.  This role is mission critical to driving transformative value through AI and machine learning (ML) across the enterprise. 

The SVP Data Science & AI will be a core part of the Digital and Innovation Office (DIO) Leadership team delivering operational excellence, enhancing customer experiences and unlocking new revenue streams at the executive level of the organization to set the course and strategy for the broader organization.

Responsibilities 

Strategic Leadership

  • Define and champion the enterprise-wide data science strategy aligned to business priorities and digital transformation

  • Act as the senior-most technical authority on AI, ML, and advanced analytics initiatives

  • Partner with E-Team leaders to embed data science into strategic roadmaps

AI / ML Strategy

  • Develop advanced AI/ML models that deliver measurable outcomes across productivity, automation, and customer insights

  • Enable enterprise-scale AI, ensuring robust MLOps, data governance, and ethical AI principles across geographies and platforms, in partnership with the broader Data team

  • Ownership of a global data science agenda with ability to influence the executive leadership to shape the future of digital infrastructure through AI

Partnership & Collaboration

  • Partner with business and digital product teams to design AI-powered services that strengthen Equinix’s revenue-generating offerings and helping sales and marketing with cross-sell and upsell and base management 

  • Collaborate on strategic AI partnerships with hyperscalers, chipset providers, and leading research institutions

  • Collaborating across the organization and utilizing access to unparalled datasets and technology partnerships to drive an enterprise-wide transformation

  • Anticipate external factors and have insight into cutting edge technology and strategy to inform partnerships in AI solutions 

Team & capability building

  • Build and lead a high-performing, diverse global team of data scientists, ML engineers, and research scientists

  • Establish standards for model development, validation, deployment, and ethical AI practices

  • Develop talent pathways for emerging data science talent and foster a strong internal community of practice

  • Lead and evolve the global data science function, shaping team structure, talent strategy, and operating models to meet future need

  • Drive impact across internal operations, including predictive maintenance, energy efficiency, supply chain optimization, and digital twin modeling

  • Stay ahead of industry trends and translate cutting-edge developments into actionable strategies

  • Influence executive leadership and broader teams indirectly and directly through clearly communicated and relatable strategy and north star

Qualifications

Essential skills, knowledge and experience

  • Strong intellect, with deep technical foundation in Data Science, Computer Science, Statistics, Physics, Engineering, Applied Math or a related field. Master’s or PhD preferred

  • Strong business acumen and ability to bridge strategic vision with operation

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Company

Equinix

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