Product Manager
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
Senior Product Manager, Data & AI — Corporate Functions (HR & Legal)
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.
About the Role
We're building HR and Legal data products that power workforce planning, talent strategy, compliance, and risk management across the enterprise. These products unify data from core systems such as Workday, Agiloft, SFDC, ServiceNow, and are delivered through a unified enterprise analytics and intelligence platform: a trusted single source of reference that exposes insight through APIs, semantic models, dashboards, and conversational and agentic AI experiences.
As Product Manager, you'll help drive the data and analytics product strategy and roadmap for our Corporate Functions (HR and Legal). You'll partner closely with stakeholders to understand their strategic priorities, operating rhythms, and pain points — fragmented data, manual reporting, limited scenario planning, and governance gaps — and translate them into high-impact, AI-enabled data products that sharpen insight, automate reporting, and elevate HR and Legal as strategic advisors to the business.
This role sits at the intersection of data engineering, business strategy, and applied AI. You'll turn complex business needs into a clear product roadmap while working hand-in-hand with data engineers to ship scalable, reliable, and high-impact solutions.
This is a high-visibility, cross-functional role for someone who can operate at both strategic and technical depth, partner effectively with engineering and business stakeholders, and who has hands-on experience shipping AI/ML-powered products.
What You'll Do
Partner & advise: Build trusted relationships with HR and Legal stakeholders, understanding their objectives, operating cadence, and core processes. Translate pain points (attrition risk, skills and talent strategy, DEI reporting, contract bottlenecks, compliance governance) into data product solutions and manage expectations within and across functions.
Shape strategy & roadmap: Drive the product strategy and an ROI-informed roadmap, balancing quick-win delivery against foundational platform work, technical debt, and scalability.
Build data products: Own function-grade semantic models that integrate with the enterprise platform, model store, and query APIs. Productize analytics and AI/ML services while upholding platform principles: system of reference, domain data ownership, and full lineage, provenance, and auditability.
Posted July 31, 2026