Job Description
Profile insights
Here’s how the job qualifications align with your profile.
Skills
AI
(Required)
SaaS
Leadership
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Do you have experience in AI?
Education
Doctoral degree
Master's degree
Do you have a Doctoral degree?
Job details
Here’s how the job details align with your profile.
Pay
$274,000 - $461,000 a year
Job type
Full-time
Location
Estimated commute
Add your address to estimate commute
Job address
1950 North Stemmons Freeway, Dallas, TX 75207
Full job description
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 Chief Data Scientist will lead our global data science organization through bold and visionary-focused execution. This role is mission critical to driving transformative value through AI and machine learning.
The Chief Data Scientist will be a core part of the Digital and Innovation Office 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 operational delivery 20+ years of experience in data science, with at least 5 in a senior global leadership role
Proven track record of leading multiple successful AI/ML programs from project initiation through development and implementation, with quantified success metrics
Verified experience of applying advanced analytics capabilities to solve ambiguous and complex business problems at global scale, in complex distributed enterprise – ideally across infrastructure, cloud, SaaS environments
20+ years of progressive leadership experience in technology, digital, innovation, or
enterprise operations in a large-scale, complex international B2B technology-centric organization
Demonstrated track record in operating model design, enterprise transformation, or technology business management
Deep understanding of modern technology operating models including Agile, product-centricity, data-driven decision making, and cloud-native architecture
Skills and Attributes
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels and and articulate complex technical or mathematical concepts into clear business language
Strategic thinker with a customer-centric mindset, passion for innovation and capability in story telling
Can bring together multiple initiatives into a cohesive plan and influence key decision makers along the way
Leadership characteristics
Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment
Cultivates Innovation – Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: $307,000 to $461,000 per year
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $274,000 to $410,000 per year
Colorado, Nevada, Rhode Island: $274,000 to $410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, ****** orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: $307,000 to $461,000 per year
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $274,000 to $410,000 per year
Colorado, Nevada, Rhode Island: $274,000 to $410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
Here’s how the job qualifications align with your profile.
Skills
AI
(Required)
SaaS
Leadership
+ show more
Do you have experience in AI?
Education
Doctoral degree
Master's degree
Do you have a Doctoral degree?
Job details
Here’s how the job details align with your profile.
Pay
$274,000 - $461,000 a year
Job type
Full-time
Location
Estimated commute
Add your address to estimate commute
Job address
1950 North Stemmons Freeway, Dallas, TX 75207
Full job description
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 Chief Data Scientist will lead our global data science organization through bold and visionary-focused execution. This role is mission critical to driving transformative value through AI and machine learning.
The Chief Data Scientist will be a core part of the Digital and Innovation Office 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 operational delivery 20+ years of experience in data science, with at least 5 in a senior global leadership role
Proven track record of leading multiple successful AI/ML programs from project initiation through development and implementation, with quantified success metrics
Verified experience of applying advanced analytics capabilities to solve ambiguous and complex business problems at global scale, in complex distributed enterprise – ideally across infrastructure, cloud, SaaS environments
20+ years of progressive leadership experience in technology, digital, innovation, or
enterprise operations in a large-scale, complex international B2B technology-centric organization
Demonstrated track record in operating model design, enterprise transformation, or technology business management
Deep understanding of modern technology operating models including Agile, product-centricity, data-driven decision making, and cloud-native architecture
Skills and Attributes
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels and and articulate complex technical or mathematical concepts into clear business language
Strategic thinker with a customer-centric mindset, passion for innovation and capability in story telling
Can bring together multiple initiatives into a cohesive plan and influence key decision makers along the way
Leadership characteristics
Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment
Cultivates Innovation – Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: $307,000 to $461,000 per year
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $274,000 to $410,000 per year
Colorado, Nevada, Rhode Island: $274,000 to $410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, ****** orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: $307,000 to $461,000 per year
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $274,000 to $410,000 per year
Colorado, Nevada, Rhode Island: $274,000 to $410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
💡 Quick Summary
Seeking a career-building opportunity? The Chief Data Scientist position is now open for candidates interested in the Database Administrator sector. This role in Dallas offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.
