Director, Go-To-Market Data and AI Product Management

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.

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 are 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 Director of Go-To-Market Data Product Management to develop the data and AI product roadmap for our Go-To-Market organization. This is a senior product leader role, that will interface with both senior business leaders and engineering, data science team. You’ll partner directly with engineering and data science leadership as a peer – someone who can evaluate technical approaches, challenge estimates, and make sound build-vs-buy decisions.

You won’t just gather requirements and hand them off; you’ll shape solutions.

Key priorities for this role include building our Customer 360 capability, a unified view of customer, product, and transaction data that will power pricing optimization, solution design, and developing AI automation and AI intelligence products that help customers and Go-To-Market teams.

This role resides within Equinix’s Enterprise Data & Analytics team, and reports to the Senior Director of Data Product, Go-To-Market.

• Build the product strategy and roadmap; own key products
  • Develop the Data and AI product strategy for Go-To-Market, aligned to business goals and prioritized against real constraints
  • Lead development of a unified Customer 360 view that integrates customer firmographics, behavioral data, product usage, and transaction history
  • Develop business cases, drive prioritization and resource allocation to deliver highest-ROI outcomes; say no when needed and make the case for it
• Partner with engineering as a technical peer
  • Work side-by-side with engineering and data science leadership to evaluate technical options, identify technical tradeoffs, estimate effort, and make architecture recommendations where applicable
  • Review and assess data models, pipeline designs, and system architectures; identify risks and tradeoffs before they become problems
  • Critique and challenge inflated estimates and oversimplified proposals; know when a "simple" request is actually complex
  • Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting
• Drive business impact through stakeholder partnership
  • Build trust-based relationships with senior business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help
  • Run monthly/quarterly portfolio reviews to ensure delivery stays on track and aligned to business needs
  • 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
• Manage through transition and complexity
  • Lead 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 needs; protect time for building while keeping the lights on for products in ‘maintenance’ mode
• Bring outside-in…