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Added 4 mins ago
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Equinix

Technology Program Manager

Toronto, ON, Canada

Pay: $65 to $75 CAD / hour
Job type: Contract
Apply by: Oct 23, 2026
Experience: 8+ years’ experience delivering large-scale technology programs across multiple engineering teams.
Posting language: English
Posted: Sep 23, 2026

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Original job description

Please note that this is a contract role providing services to Equinix through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Equinix.

Summary

We are looking for AI-native Technical Program Managers (TPMs) who are proficient in prompt engineering and hands-on with Rovo, Claude, and other GenAI platforms. Candidates should be able to build AI agents and agentic workflows that automate and scale insights, reporting, and execution management, turning program data into actionable insights and driving faster, more effective execution.

The ideal candidate brings strong TPM fundamentals combined with the ability to identify, prototype, and deploy GenAI solutions that transform how programs are managed and executed.

Key Responsibilities

Program Execution

Oversee the full technology development lifecycle (scope, schedule, change, risk, vendors, and financials).
Proactively manage program dependencies, risks, and cross-team coordination.
Identify and manage cross-platform architecture dependencies, system integrations, and technical delivery risks across multiple engineering teams.
Partner closely with architects and engineering leaders to ensure system design, platform capabilities, and delivery timelines remain aligned.
Discovery & Problem Definition: Consult on cross-functional requirements spanning security, legal, compliance, and business process integration, aligning technical execution with strategic business objectives.
Technical Architecture: Consult on the proposed architecture, assessing its cross-functional execution impacts and identifying cross-platform dependencies, system integrations, and technical delivery risks across multiple engineering teams.
Engineering Delivery Plan: Partner with architects and engineering leaders to review the engineering delivery plan, keeping system design, platform capabilities, and delivery timelines aligned; identify cross-functional dependencies and milestone alignment and begin building the program delivery plan in Jira.
Program Planning & Governance: Lead the integrated program plan, governance cadence, and RAID log, overseeing the full technology development lifecycle (scope, schedule, change, risk, vendor, and procurement) and delivering an execution-ready Jira hierarchy (Epics → Stories/Tasks) with assignees, dependencies, milestones, and target ETAs.
Execution & Management: Lead execution by proactively managing dependencies, risks, cross-team coordination, and stakeholder communication; support vendor management and third-party integrations; and maintain the Program Dashboard, Executive Status Reports, Dependency Tracker, and Decision Log.
Release & Launch: Lead launch readiness and the go/no-go decision, collaborating with Program and Portfolio Managers to ensure on-time, on-budget, and within-scope delivery, and delivering the Launch Readiness Checklist.
Post Go-Live: Lead the transition of the program to the Service/Operations team.

Stakeholder Engagement & Communication

Engage with DIO and stakeholders to ensure transparency, alignment, and shared accountability across the program.
Prepare and present updates to DIO executives, stakeholder leaders and lead steering committees and similar forums.
Prepare and manage communication plans, facilitate and influence decision-making and operating model adoption, and resolve conflicts.

Governance & Reporting

Monitor and report program health, milestones, risks, and resource needs using TPMO standards and tools.
Provide executive-level visibility into program progress, technical risks, and dependency management through structured reporting and delivery dashboards.
Ensure compliance with internal controls, SOX standards, and TPMO practices.
Contribute to progress reporting, risk mitigation, and stakeholder satisfaction initiatives.

Skills & Experience

Proven experience orchestrating large-scale technical programs by aligning architecture, engineering dependencies, and delivery across multiple teams and platforms.
Strong technical fluency in distributed systems, APIs, enterprise integrations, and cloud-based platforms to effectively manage system complexity and technical trade-offs.
Experience managing complex cross-team dependencies, technical risks, and integration challenges across enterprise systems.
Ability to partner closely with engineering leaders, architects, and product managers to translate technical strategy into executable delivery plans.
Skilled in driving program execution through clear milestones, dependency mapping, and risk mitigation strategies.
Strong analytical and problem-solving capabilities with experience using program metrics, delivery dashboards, and data insights to support decision-making.
Excellent stakeholder management and communication skills with the ability to explain complex technical programs to both engineering teams and executive leadership.
Hands-on proficiency with core program delivery tools including Jira, Confluence, and Lucid.
Demonstrated proficiency and daily hands-on use of AI productivity tools to accelerate program delivery, including LLM-based assistants (e.g., Claude, OpenAI/ChatGPT) and AI agents embedded in the Atlassian suite (e.g., Atlassian Rovo for Jira/Confluence), as well as Microsoft Copilot. Able to apply these tools for automated status and dashboard reporting, backlog and Jira setup automation, meeting/documentation summarization, and AI-assisted risk, dependency, and data analysis.

Qualifications

Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related technical field.
8+ years’ experience delivering large-scale technology programs across multiple engineering teams.
Technical background in software engineering, systems architecture, or infrastructure platforms.
Certifications such as PMP, SAFe- SPC, RTE, or cloud certifications (AWS, Azure, GCP).

Location: Toronto Canada (Hybrid 2-3 days a week in office)

Duration: 10 Months

Pay Rate: $65 - $75 CAN

AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.

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More about this job

Responsibilities

Lead large-scale technology programs from discovery and planning through execution, launch, and transition to operations, coordinating engineering teams, architecture, vendors, dependencies, risks, and budgets. Maintain governance and delivery artifacts, communicate program health to executives and stakeholders, and use AI tools to automate reporting, planning, and analysis.

Requirements

Requires a bachelor’s or master’s degree in a relevant technical field, at least 8 years of experience delivering large-scale technology programs, and a technical background in software engineering, systems architecture, or infrastructure. Candidates should be proficient with Jira, Confluence, and Lucid, have strong technical and stakeholder-management skills, and demonstrate hands-on use of AI tools such as Claude, ChatGPT, Rovo, and Microsoft Copilot.

Skills

Technical Program Management
Program Planning And Governance
Cross-Team Dependency Management
Risk Management
Distributed Systems
APIs And Enterprise Integrations
Cloud Platforms
Jira
Confluence
Lucid
Prompt Engineering
AI Agents And Agentic Workflows
Claude And ChatGPT
Atlassian Rovo
Microsoft Copilot
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Technical Program Management
Program Governance
Jira
Confluence
Lucid
Prompt Engineering
Generative AI
AI Agents
Agentic Workflows
Atlassian Rovo
Claude
OpenAI ChatGPT
Microsoft Copilot
Distributed Systems
APIs
Enterprise Integrations
Cloud Platforms
Architecture Dependencies
Risk And Issue Management
RAID Log
Program Dashboards
Executive Status Reporting
Vendor Management
Third-Party Integrations
SOX Compliance
PMP
SAFe SPC
RTE
AWS Azure GCP

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