Senior Principal Product Manager – Enterprise… at Equinix · Toronto

Senior Principal Product Manager – Enterprise Data & Analytics Platform Location: Toronto 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. Job Summary We are seeking a Senior Principal Product Manager to lead the product strategy and roadmap for our Enterprise Data & Analytics Platform. This role will drive a Platform-as-a-Product mindset, delivering scalable, secure, and self-service capabilities for data engineering, analytics, APIs, streaming systems, and AI/GenAI workloads across the enterprise. You will own the platform product vision, roadmap, and engineering backlog, working closely with Platform Engineering, SRE, Governance, and Data teams to evolve the platform into a highly reliable, intelligent, and developer-centric internal platform. A key responsibility of this role is to drive AI-native platform capabilities, embedding Generative AI, automation, and intelligent platform operations into the next generation of the enterprise platform. Responsibilities Platform Product Strategy Define and drive the product vision and long-term roadmap for the Enterprise Data & Analytics Platform Lead the adoption of a Platform-as-a-Product operating model, ensuring platform capabilities are delivered as scalable internal products with clear value for engineering teams Shape the platform evolution across key domains including: -Data ingestion and transformation frameworks -API and integration platforms -Streaming and real-time data platforms -Platform governance and data governance enablement -Platform observability and reliability -Developer self-service and platform automation -AI and GenAI platform capabilities -Continuously evaluate emerging technologies and introduce innovations that enhance platform scalability, intelligence, and developer productivity Platform Backlog Ownership Own and manage the platform engineering backlog across multiple platform domains, including: -Platform Engineering -Platform Governance -Platform Control Tower / Observability -Site Reliability Engineering (SRE) -Production Support enablement -GenAI platform capabilities Translate strategic initiatives into clear epics, features, and prioritized engineering deliverables Partner with engineering leadership to balance innovation, reliability, and operational excellence while ensuring continuous platform improvement GenAI-Enabled Platform Innovation Drive the adoption of Generative AI capabilities within the enterprise platform, enabling intelligent automation and developer productivity Define product capabilities for AI-powered platform services, including: -AI-assisted platform operations for troubleshooting incidents and diagnosing pipeline failures -GenAI-powered developer assistants for building data pipelines, APIs, and platform integrations -Automated code generation and optimization for data transformations and platform configurations -AI-powered data discovery and metadata intelligence -GenAI-driven documentation and knowledge assistants for platform users -Automated platform diagnostics and root cause analysis -AI-driven operational insights for SRE and production support teams Work with engineering teams to embed LLM-powered automation and intelligent workflows into the platform ecosystem Platform Control Tower & Operational Intelligence Lead the development of a Platform Control Tower providing enterprise visibility into platform health and operations The Control Tower will enable: -Real-time monitoring of platform services -Data pipeline health and reliability metrics -API and streaming service observability -Platform adoption and usage insights -Governance compliance visibility -AI-powered anomaly detection and operational insights -Ensure the platform operates with intelligent observability and proactive operational insights Platform Governance Enablement Collaborate with Enterprise Data Governance teams to embed governance capabilities directly into the platform Drive product capabilities that support: -Metadata and data catalog integration -Data lineage and observability -Data quality monitoring -Data classification and access controls -Policy-driven governance automation Ensure governance capabilities are delivered in a scalable, automated, and developer-friendly way Reliability & SRE Alignment Partner closely with Site Reliability Engineering teams to ensure platform reliability and operational excellence Align platform roadmap priorities with: -Observability improvements -Incident reduction strategies -Platform resilience and disaster recovery -Capacity planning and performance optimization Support the adoption of AI-driven reliability engineering practices to proactively identify operational risks Developer Experience & Self-Service Continuously improve the developer experience across the platform Drive development of: -Self-service platform capabilities -Standardized platform templates and frameworks -Automated developer workflows -Simplified onboarding and platform documentation -AI-powered developer assistants and platform copilots The goal is to accelerate developer productivity while ensuring platform consistency and governance Qualifications Experience 12+ years of experience in Product Management, Platform Engineering, or Data Platform leadership roles Proven experience managing enterprise-scale internal platforms Experience working with large-scale data platforms, distributed systems, or developer platforms Technical Understanding Strong understanding of modern platform ecosystems including: -Cloud platforms (Google Cloud preferred) -Data platforms and analytics architectures -API and microservices ecosystems -Streaming platforms (Kafka, Pub/Sub) -Observability and reliability engineering -CI/CD and platform automation -Modern data warehouse architectures GenAI & AI Platform Awareness Experience defining or working with AI-powered platform capabilities, including: -Generative AI and Large Language Model ecosystems -AI-powered developer productivity tools -Retrieval-Augmented Generation (RAG) architectures -AI-driven observability and operational automation -Intelligent platform assistants and developer copilots Ability to identify opportunities where AI can significantly improve platform usability, reliability, and operational efficiency Product Leadership Strong experience managing engineering backlogs and platform roadmaps Ability to translate complex technical capabilities into clear product value and adoption strategies Experience driving cross-team alignment across engineering, platform, and governance teams Leadership Skills Strong communication and storytelling skills Ability to influence engineering teams and senior leadership Comfortable operating at both strategic and execution levels Nice to Have Experience implementing Platform-as-a-Product operating models Exposure to Data Governance and metadata platforms Experience with AI-driven platform automation Experience working with enterprise-scale analytics platforms Impact of This Role You will shape the future of the Enterprise Data & Analytics Platform, enabling teams across the organization to build and operate data-driven and AI-powered products at scale Your work will directly influence: -Enterprise platform reliability and developer productivity -Data platform adoption across engineering teams -Governance automation and data quality improvements -The next generation of AI-native platform capabilities The targeted pay range for this position in the following location is / locations are: Canada - Toronto Office TRO : 166,000 - 248,000 CAD / 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. Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion. 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. We use artificial intelligence in our hiring process. Learn more here. This posting is a new position within our organization.