Senior Principal Product Manager – Enterprise Data & Analytics Platform

Equinix•Toronto, ON

3d•Onsite

About The Position

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.

Requirements

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
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
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
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
Strong communication and storytelling skills
Ability to influence engineering teams and senior leadership
Comfortable operating at both strategic and execution levels

Nice To Haves

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

Responsibilities

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
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
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
Lead the development of a Platform Control Tower providing enterprise visibility into platform health and operations
Ensure the platform operates with intelligent observability and proactive operational insights
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
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
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
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

Benefits

Employee Assistance Program
Healthcare coverage that is designed to complement the provincial healthcare system
Life, disability and optional benefit plans
Defined Contribution Pension Plan (DCPP)
Group Retirement Savings Plan (RRSP)
Tax-Free Savings Plan (TSFA)
Vacation and personal time
Various paid holidays

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