Director Data Product Management

Equinix; Toronto; On-site; CAD 182,000 - 272,000; Full time

Job summary

A leading digital infrastructure company in Toronto seeks a Director of Data Product Management. In this role, you will develop the data and AI product roadmap, partnering with engineering and data science teams. Candidates should have over 10 years of experience in enterprise data management and strong SQL skills. This position offers competitive compensation in the range of 182,000 – 272,000 CAD annually, with the opportunity to lead impactful data initiatives.

Qualifications

• 10+ years in product management for enterprise data platforms.
• Deep fluency in SQL and data modeling.
• Experience managing AI/ML product development end-to-end.

Responsibilities

• Develop the data and AI product roadmap.
• Build the Product 360 capability for customer data.
• Drive business impact through stakeholder partnership.

Skills

SQL

Cross-functional problem solving

Technical communication

Education

Bachelor's degree in relevant field

Tools

BigQuery

Snowflake

Databricks

Redshift

Job description

Who are we?

քp>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. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

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 we plan to commercialize 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 senior productapin leader will interface with senior business leaders, engineering, and data science teams. You’ll partner directly with engineering and data science leadership as a peer, evaluating technical approaches, challenging estimates, and making build‑vs‑buy decisions. You won’t just gather requirements and hand them off; you’ll shape solutions.

Key priorities include building our Product 360 capability—a unified view of customer, product, and transaction data that will power pricing optimization, solution design, and network‑intelligence products to help customers optimize their multi‑cloud interconnection footprint.

Responsibilities

Build the product strategy and roadmap; own key products

• Develop the Data andégal‑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

Partner with engineering as a technical peer

• Work side‑by‑side with engineering and data science leadership to evaluate technical options, identify technical trade‑offs, estimate effort, and make architecture recommendations where applicable
• Review and assess data models, pipeline designs, and system architectures; identify risks and trade‑offs 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 Bildern 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 Allianz 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 (Productischt 360 approaches, AI‑augmentedi 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 મૂળ technical experience as a data engineer, software engineer, or data scientist
• Deep fluency in SQL and data modeling – you can inspect a schema, identify problems, evaluate query performance, and discuss normalization trade‑offs
• Track record of partnering with engineering leadership as a technical peer, not just a requirements‑passer
• Proven ability to drive prioritization, make trade‑offs, 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 כח, Redshift)
• Familiarity with MLOps concepts: feature stores, model serving, monitoring, retrainingเข้าสิยา
• 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
• 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
• Efficiently translate between engineering and business – simplifying technical trade‑offs 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

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

United States – Dallas Infomart Office DAI : 177 quien 265,000 USD / Annual

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, sexuality 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.

We use artificial intelligence in our hiring process. Learn more here.