Director, Data 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 bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

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 and automated data center cage design. As we scale, we transform internal operational and analytical data into unified, governed, high-quality assets for Equinix, and plan to commercialize differentiated data and insights offerings for external customers.

Responsibilities

• Build the product strategy and roadmap; own key products
  • Develop the Data and AI product strategy for GMPO, aligned to business goals and prioritized against real constraints.
  • Lead development of a unified Product 360 view that integrates customer firmographics, behavioral data, product usage, and transaction history.
  • Develop graph-based views of customer network topology to identify optimization opportunities, redundancy gaps, and capacity planning needs.
  • 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 tradeoffs, estimate effort, and make architecture recommendations.
  • 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; keep critical reporting capabilities 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 perspective
  • Stay current on analytics, AI/ML, and data product trends; bring relevant innovations (e.g., Product 360 approaches, AI-augmented BI, knowledge graphs) to inform roadmap decisions.
  • Serve as a trusted technical advisor to business partners on what's emerging and what's hype.

Qualifications

• 10+ years of professional experience, including 6+ years in product management for enterprise data platforms, reporting and analytics products, or AI/ML products.
• Prior hands‑on technical experience as a data engineer, software engineer, or data scientist.
• Deep fluency in SQL and data modeling – able to interpret schemas, evaluate query performance, and discuss normalization tradeoffs.
• Track record of partnering with engineering leadership as a technical peer, not just a requirements passer.
• Proven ability to drive prioritization, make tradeoffs, and push back on stakeholders when needed.
• Strong communication skills; able to simplify complex technical concepts for business audiences.
• Experience operating in a highly cross‑functional, global business.

Preferred / Nice To Have

• Experience managing AI/ML product development end-to-end, from problem framing through deployment and iteration.
• Experience building customer-facing data products, not just internal tools or dashboards.
• Experience building customer 360 or product 360 data products, including entity resolution and identity matching across multiple source systems.
• Experience with building an LLM‑ready semantic layer – ensuring it is governed, well-modeled, and reliable.
• Cloud data platform expertise (e.g., BigQuery, Snowflake, Databricks, Redshift).
• Familiarity with MLOps concepts: feature stores, model serving, monitoring, retraining.
• Industry background in cloud infrastructure, B2B SaaS, data centers, telecommunications, or multi‑cloud networking.

Skills

• Ability to break down ambiguous, cross‑functional problems and drive to a solution when there's no clear precedent or playbook.
• Comfortable reading and critiquing technical artifacts – data models, architecture diagrams, pipeline designs – and asking the right questions when something doesn't add up.
• Ability to quickly t‑shirt size effort for data and AI initiatives across product and engineering.
• Ability to effectively translate between engineering and business – simplifying technical tradeoffs for executives while maintaining credibility with engineers.
• Drives decisions forward; knows when to build consensus and when to make the call and move on.
• Takes ownership of outcomes, not just delivery; holds self and partners accountable to business impact.

Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits align with our core values: competitive, inclusive, sustainable, connected, and efficient. Wherever you are in your career, you’ll be able to enhance your experience and bring your whole self to work. Employees are eligible for a benefit package that may include health, life, disability, and voluntary plans; retirement contributions; paid time off; and other program benefits. Details vary by location and employment status.

Pay Range

Canada – Toronto Office: 182,000 – 272,000 CAD per year.

United States – Dallas Infomart Office: 177,000 – 265,000 USD per year.

Our pay ranges reflect the minimum and maximum target for new hire pay based on role, level, and location. The range shown is based on our compensation structure at the time of posting and may be updated periodically. Individual pay is based on additional factors including job‑related skills, experience, and education or training.

EEO Statement

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 the 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 or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political or organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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