Senior Principal, Design & Construction Data & Insights Lead
EquinixAbout the role
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 & Analytics team (EDNA) delivers products that enable insights & decisions across Equinix. These products span the full spectrum of our data ecosystem, including core elements of our enterprise data platform, reusable data models and semantic layers, decision-ready dashboards, and emerging AI-driven capabilities. As we scale, we are transforming these internal assets into unified, resilient, and intelligent products that elevate internal productivity and decision quality. We aspire to commercialize differentiated data and analytics offerings for our customers, making data essential to their digital transformation journey with Equinix.
We are looking for an adaptable & motivated product leader to lead data insights in partnership with our Global Design & Construction (GDC) teams. This individual will work closely with senior leadership across complex stakeholder groups to analyze & identify opportunities to speed up construction delivery and optimize new capacity delivery at Equinix. New data center builds are our main capital cost meaning impact here will be directly measurable to the company's financial goals during a period of massive growth.
Responsibilities
Deliver insightful, novel recommendations to optimize delivery of new capacity
Build valued relationships with senior business stakeholders & company executives underpinned by consistent capability delivery & value creation
Broad spectrum, cross functional leadership and managing via influence. Diverse thinker able to connect complex problems across different domains
Define & publish a strategy and own the business cadence for reviewing opportunity roadmap with stakeholders
Business ownership of all (existing & identified) data pipelines that enable new data center delivery
Qualifications
Degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or commensurate experience
Minimum of 6-8 years' experience in Product Management or Data Science, preferably within the data/analytics domain, either internal facing or both internal and customer facing products (e.g., commercialized and generating revenue)
Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
Experience operating in a highly cross functional, multinational business ideally in the data center or commercial construction industries
Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems and deliver novel solutions to address them
Skills:
Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
Excellent communicator, able to simplify complexity and tailor messaging based on audience
Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
Ability to demonstrate ownership and proactively drive initiatives while meeting business deadlines
Ability to balance collaboration and driving alignment, while being decisive
This posting is a new position within our organization.
The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 177,000 - 265,000 USD / Annual
Canada - Toronto Office TRO : 182,000 - 272,000 CAD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only an
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