IT Project Manager

Title: IT Project Manager

Duration: 6 Months 

Location: Montreal, QC 

Salary Range: C$60/Hr. - C$65/Hr. 

Introduction

The Data Office Department drives and continuously improves the way data is handled throughout the organization. It looks to satisfy the requirements related to principles for effective enterprise data aggregation and reporting and is intended to support evolving regulatory requirements.

The Data Office Department is made up of the following 5 pillars:

• Data Privacy and protection: protect personal information of clients, employees, and other individuals from third parties.
• Data Governance: set the framework for developing and formalizing the “know your data” culture including formal governance forums.
• Data Management: determine the data strategy for the platform with the objective of identifying and adopting golden sources, capturing, and maintaining data glossaries and dictionaries, business, and functional lineage from source to output as well as managing referential data.
• Data Quality: Set up a framework to assess and report on the data used for reporting purposes and an effective remediation team and data certification and attestation processes.
• Data Solutions: develops various types of value-added Analytics solutions using data.

Required Skills & Qualifications

• Bachelor's degree from accredited university
• 5-7 plus years of professional experience ideally in data management or Project Management role in IT
• Preferred experience in Project Management, Business Analysis, data management, process improvement
• Experience preparing senior management presentations and large data sets
• Elevated level of ability in Client Office (Word, Excel, PowerPoint)

Preferred Skills & Qualifications

• Analytical and problem solving, with a keen sense for processes, analysis, and documentation
• Relevant certification (e.g., PMP, PRINCE2, Agile/Scrum)
• Professional working proficiency in English

Day-to-Day Responsibilities

• Plan, launch, and sustain data‐management, data governance and data‐quality initiatives – develop project charters, scopes, timelines, and success criteria; track progress against milestones.
• Oversee data‐management framework monitoring & reporting – create a repeatable issue‐tracking workflow, generate status reports and dashboards that highlight inconsistencies, inaccuracies, and anomalies for internal/external processes.
• Define and enforce data‐validation rules – facilitate cross‐functional workshops with Business Analysts, IT, and Data Owners/Stewards; translate requirements into test cases and automated checks and certify data fitness before it’s used for reporting or decision‐making.
• Coordinate issue resolution across teams – establish a RACI matrix, hold regular stand‐ups/steering‐committee meetings, assign owners, and monitor remediation tasks in the project‐management tool (e.g., Jira, Azure DevOps).
• Support data‐integration projects – scope inbound data feeds, define quality gates, run integration test suites, and report readiness status to stakeholders.
• Identify data‐related risks and drive mitigation – conduct risk assessments at project kickoff, log risks in a register, and implement mitigation or contingency plans.
• Deliver training and knowledge‐transfer programs – create targeted workshops/e‐learning on data‐quality standards, validation tools, and governance processes; track uptake and competency metrics.
• Drive continuous‐improvement and automation and prioritize enhancements in a project backlog.
• Produce project artefacts and documentation – maintain up‐to‐date project plans, risk/issue registers, status dashboards, and lessons‐learned logs to ensure transparency and repeatable success.

For immediate consideration please click APPLY to begin the screening process with Alex.