Job SummaryThe 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.
ResponsibilitiesAI Strategy, Vision and Roadmap
- 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
AI Use Case Definition and Product Ownership
- 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
AI Solution Enablement and Delivery
- 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
Operational Transformation and Value Realization
- 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
Cross Functional Collaboration
- 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
Agile Product Delivery and Backlog Management
- 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
AI Governance and Operational Readiness
- 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
Product Performance and Continuous Improvement
- 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
Qualifications- 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
Preferred Characteristics
- 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
The targeted pay range for this position in the following location is / locations are:
Canada - Toronto Office TRO : 154,000 - 232,000 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 BenefitsAs 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.
