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
Our data products power the insights, decisions, and operations of teams across Equinix. We build and manage core data platform capabilities, reusable data models, semantic layers, decision-ready dashboards, conversational BI, and custom AI solutions including interconnection recommendation engines, automated data center cage design, etc. As we scale, we're transforming internal operational and analytical data into unified, governed, high quality assets for Equinix, and we plan to build toward commercializing differentiated data and insights offerings for external customers.
We're looking for a Principal, Product Management to drive the execution of the data and AI product roadmap for our Go-To-Market Organization. This is a hands-on technical product management role that bridges business needs and technical delivery. You will engage with business stakeholders to understand their pain points, and work closely with engineering and data science teams to translate business needs into well-defined data and AI products, manage delivery timelines, ensure products meet business needs.
This role resides within Equinix’s Enterprise Data & Analytics team, and reports to the Senior Director of Data Product, Go-To-Market.
Responsibilities
Drive product execution and delivery
Own day-to-day product management for assigned data and AI products; manage backlogs, define requirements, and drive delivery
Translate business needs into detailed product requirements and user stories that engineering can execute against
Review and assess data models, pipeline designs, and system architectures; identify risks and tradeoffs before they become problems
Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting
Identify and manage risks in release delivery and communicate with stakeholder with clarity and mitigation plans
Drive business impact through stakeholder engagement
Build trust-based relationships with business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help
Set clear expectations, push back on low-value requests, and educate stakeholders on what's possible and what's not
Frame ambiguous problems, generate hypotheses, and drive to recommendations when there's no clear precedent
Improve operational excellence
Support data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters
Partner with engineering to design interim solutions that bridge old and new data models during migration
Balance strategic roadmap work with operational responsibilities; protect time for building while keeping the lights on for products in ‘maintenance’ mode
Manage data quality escalations and work with engineering to resolve issues before they erode user trust
Build processes that reduce repeat firefighting - if the same thing breaks twice, fix it permanently
Qualifications
Required
4-6 years in product management or technical program management or software engineering
Prior experience as a data analyst, data scientist, software engineer, or similar technical role
Proficient in SQL- can write complex queries, or programming languages, troubleshoot performance issues, and evaluate whether a proposed data model will serve the use case
Familiar with ETL/ELT concepts and data pipeline architecture
Comfortable operating with incomplete information and competing priorities; able to engage credibly with engineering on technical tradeoffs
Strong communication skills; able to translate between technical and business audiences
Preferred / Nice to have:
Expe…
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