Job Description

Position Overview

The Senior Project Manager will lead large-scale, complex, high-profile, and high-risk projects in the Ontario Public Service (OPS) I&IT environment. This role is responsible for delivering integrated enterprise Data & AI initiatives that align with business and technology objectives. The successful candidate will oversee planning, execution, and governance of projects spanning multiple stakeholders, ensuring delivery within scope, budget, and schedule.

Key Responsibilities

Manage full project lifecycle for multi-year, multi-million-dollar I&IT initiatives, including scope, schedule, budget, quality, and risk management. Collaborate with business, data, and technology teams to drive modernization initiatives in AI, data governance, and Azure cloud ecosystems. Oversee data platform design, cloud architecture, and implementation efforts, particularly leveraging

Azure Data Factory, Databricks, Data Lake, Unity Catalogue, and SQL Warehouse

. Ensure adherence to OPS governance, gating procedures, and ITIL-based operational processes. Manage stakeholder communications, ensuring alignment between technical and non-technical audiences. Facilitate Agile and hybrid delivery models across project teams. Develop and maintain project artifacts including business cases, financial documentation, Privacy Impact Assessments (PIA), Threat Risk Assessments (TRA), and communication plans. Support procurement processes for technology infrastructure and services. Ensure compliance with OPS privacy, security, and accessibility standards.

Required Skills and ExperienceProject Management - 35%

10+ years

of integrated enterprise project management experience across business and I&IT teams. Demonstrated experience managing

multi-year, multi-million-dollar budget projects.

Proficiency with

Microsoft Office tools

(Visio, Project, PowerPoint, Word, Teams) for project planning, reporting, and collaboration. Experience managing project life cycles using collaboration tools such as

Jira, Trello, MS Project, KanBan, or Workamajig.

Technical, Deployment, and Integration - 35%

Experience with

Agile/Scrum

and scalable product delivery methodologies. Deep expertise in

Azure Cloud Data services

, including

Data Factory, Databricks, Data Lake, Unity Catalogue, and SQL Warehouse.

Proven experience with

AI and Large Language Model (LLM) technologies

in enterprise environments. Strong understanding of

Data & AI governance frameworks

and best practices.

Documentation and Governance - 20%

Experience creating privacy, financial, communication, and IT documentation including

Business Cases, PIAs, TRAs, RFS, and RFIs.

Public Sector Experience - 10%

Experience with

OPS business processes, gating procedures, project management requirements, and ITIL-based service management frameworks.

Additional Must-Haves

15+ years

of experience in

Data & AI strategy and execution

within large, multi-stakeholder environments. Experience with

Data & AI Governance

processes and technologies.
Job Types: Full-time, Fixed term contract
Contract length: 12 months

Pay: From $75.00 per hour

Application question(s):

How many years of experience do you have in Data & AI strategy and execution within a large, multi-stakeholder environment? How many years of experience do you have working with Agile/Scrum or similar software development methodologies? How many years of experience do you have with Azure Cloud Data services, including Data Factory, Databricks, Data Lake, Unity Catalogue, or SQL Warehouse? How many years of experience do you have with AI and Large Language Model (LLM) technologies?
Location:

Toronto, ON (preferred)
Work Location: Hybrid remote in Toronto, ON