Data Product Management Principal

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'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 Data Product Management Principal to drive the execution of the data and AI product roadmap for our Global Markets and Product Organization (GMPO). 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, GMPO and Business Operations.

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 for data and analytics products, or AI/ML products

• Prior experience as a data analyst, data scientist, data engineer, or similar technical role

• Proficient in SQL- can write complex queries, troubleshoot performance issues, and evaluate whether a proposed data model will serve the use case

• Can evaluate a data model and identify problems - familiar with star schema, normalization tradeoffs, and how schema design affects query performance

• 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

• Experience building unified data products (customer 360, product 360) that integrate multiple source systems like Salesforce, Oracle, or ERP platforms

• Experience building customer-facing data products, not just internal tools / dashboards

• Familiarity with data quality challenges: entity resolution, duplicate handling, schema conflicts across systems

• Experience with technology migrations or managing products through significant platform changes

• Hands-on experience with Python for data analysis or prototyping

• Cloud data platform expertise (e.g., BigQuery, Snowflake, Databricks, Redshift)

• Industry background in cloud infrastructure, B2B SaaS, data centers, telecommunications, or multi-cloud networking

Skills

• Able to break down ambiguous problems into clear requirements and actionable work items

• 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

• Takes ownership of outcomes, follows through on commitments and holds partners accountable

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 : 154,000 - 232,000 CAD / Annual

United States - Dallas Infomart Office DAI : 155,000 - 233,000 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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