Principal Product Manager

Equinix•Toronto, ON

About The Position

The AI Product Owner is responsible for defining, prioritizing, and driving delivery of AI-enabled capabilities across the Digital COO (DCOO) organization. This role focuses on applying AI to improve operational visibility, workflow orchestration, decision support, governance, productivity, and execution across DCOO-owned operational capabilities, products, and enterprise processes. The role partners closely with business leaders, product teams, architecture, engineering, data, and enterprise AI teams to identify high-value AI use cases and ensure successful delivery, adoption, scalability, and measurable business outcomes. Primary focus areas include AI-enabled operational intelligence, workflow automation, portfolio and demand insights, operational reporting and summarization, governance automation, product and architecture productivity, operational data intelligence, delivery coordination, and workforce productivity acceleration embedded across enterprise operational workflows and platforms including ServiceNow, Atlassian, portfolio management, workflow, operational, and productivity ecosystems. The ideal candidate combines strong product management discipline with operational process expertise, enterprise platform fluency, and the ability to drive both platform-native AI capabilities and custom AI-enabled solutions integrated into operational products and workflows.

Requirements

10+ years of experience in product management, enterprise platforms, operational technology, digital transformation, or related disciplines
Experience defining and delivering AI, automation, workflow, analytics, or operational transformation initiatives within large enterprise environments
Strong understanding of AI and generative AI capabilities, enterprise operational processes, and workflow-driven platforms
Experience with AI capabilities within enterprise platforms such as ServiceNow, Atlassian, and related workflow, portfolio management, operational, and productivity ecosystems
Experience driving delivery of custom AI-enabled solutions integrated into enterprise workflows and operational products
Experience working with Agile delivery models, product backlogs, and cross-functional technical teams
Strong executive communication, stakeholder management, and strategic planning capabilities
Experience developing business cases, operational KPIs, adoption metrics, and value realization models
Ability to bridge business operations, product strategy, and technical execution effectively
Bachelor’s degree preferred

Nice To Haves

Strong operational mindset with the ability to translate strategy into execution
Comfortable operating in highly cross-functional and evolving environments
Systems thinker with strong analytical and problem-solving skills
Passion for AI-driven operational transformation and productivity improvement
Ability to influence across organizational boundaries without direct authority
Focused on measurable business outcomes, adoption, and operational impact

Responsibilities

Defines and drives the DCOO AI roadmap aligned to operational excellence, workflow acceleration, governance, workforce productivity, and digital transformation priorities
Identifies and prioritizes AI use cases focused on improving operational visibility, workflow orchestration, decision support, governance, productivity, delivery execution, and cross-functional operational effectiveness across DIO
Establishes scalable patterns for embedding AI into operational products, workflows, and enterprise processes
Balances rapid operational productivity opportunities with longer-term strategic AI capabilities
Owns the lifecycle of AI use cases from ideation through implementation, adoption, optimization, and retirement
Works with stakeholders to identify operational pain points, inefficiencies, manual processes, governance gaps, and decision bottlenecks that can be improved through AI capabilities
Translates business needs into clearly defined product requirements, workflows, user stories, success metrics, and delivery plans
Defines functional and operational requirements for AI-enabled capabilities across operational products, workflows, and supporting applications
Drives prioritization and delivery of both platform-native AI capabilities and custom AI-enabled solutions integrated into operational workflows and products
Partners with technical teams to ensure solutions are scalable, supportable, secure, and operationally aligned
Coordinates pilots, experimentation, phased rollouts, and enterprise adoption activities
Maintains strong understanding of AI capabilities across enterprise platforms and operational ecosystems including ServiceNow, Atlassian, portfolio management, workflow, operational, and productivity platforms
Evaluates and drives adoption of platform-native AI capabilities where they improve operational execution, governance, visibility, workflow efficiency, and user productivity
Identifies opportunities requiring custom AI-enabled capabilities, workflow extensions, integrations, or operational intelligence solutions beyond native platform functionality
Partners with enterprise AI and technical delivery teams to integrate centralized AI capabilities into operational products, workflows, and supporting applications
Ensures AI capabilities are scalable, supportable, secure, and embedded naturally into existing operational processes and user experiences
Drives consistency in AI-enabled operational experiences, workflows, and integrations across DCOO solutions
Develops business cases and value realization models for AI initiatives
Defines and tracks KPIs related to productivity improvement, workflow acceleration, reduction in manual effort, operational visibility, governance effectiveness, and user adoption
Ensures AI investments are aligned to measurable operational and business outcomes
Continuously evaluates opportunities to improve operational maturity, scalability, consistency, and user experience through AI-enabled capabilities
Partners closely with business stakeholders, enterprise AI teams, architecture, engineering, product teams, and delivery teams
Drives alignment between operational priorities and technical execution across AI-enabled initiatives
Facilitates prioritization, dependency management, operational readiness, and stakeholder alignment across multiple teams and initiatives
Collaborates across operational and technology functions to ensure AI capabilities are integrated effectively into enterprise workflows and operational processes
Owns and prioritizes AI product backlogs aligned to strategic operational objectives
Defines epics, features, and user stories with clear business outcomes and operational value
Partners with Agile delivery teams to support sprint planning, backlog refinement, testing, release coordination, and adoption activities
Ensures delivery teams maintain clarity on priorities, operational requirements, dependencies, and success criteria
Helps establish governance models, standards, and operational guardrails for AI adoption
Ensures AI capabilities align with enterprise security, compliance, privacy, and data governance requirements
Supports operational readiness activities including process integration, support models, change management, and user enablement
Promotes reusable patterns, scalable integrations, and operational consistency across AI implementations
Defines operational success measures and monitors AI product performance, adoption, and effectiveness
Uses stakeholder feedback, operational metrics, and usage analytics to continuously improve AI capabilities
Identifies opportunities to expand successful AI use cases across additional operational domains
Drives continuous optimization of AI-enabled workflows and user experiences

Benefits

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

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