Director, Data Product Management

Who are we?

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 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 Data Product Management to develop the data and AI product roadmap for our Global Markets and Product Organization (GMPO). 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 Product 360 capability, a unified view of customer, product, and transaction data that will power pricing optimization, solution design, and developing network intelligence products that help customers optimize their multi-cloud interconnection footprint.

This role resides within Equinix's Enterprise Data & Analytics team, and reports to the Senior Director of Data Product, GMPO and Business Operations.

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 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 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

Required

• 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 - you can look at a schema and identify problems, 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 / dashboards

• Experience building customer 360 or product 360 data products, including entity resolution and identity matching across multiple source systems

• Experience with building LLM ready semantic layer - ensure semantic layer 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

• Able 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

• Able to quickly T-shirt size level of effort for data and AI initiatives across product and engineering

• Able 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 themselves and partners accountable to business impact

This posting is a new position within our organization.

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 182,000 - 272,000 CAD / Annual

United States - Dallas Infomart Office DAI : 177,000 - 265,000 USD / 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 and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

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 this 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 / childbirth 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 / 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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