IT Project Manager

Location: Montreal

Job title:

- IT Project Manager

Location:

- Montreal, QC (Hybrid days onsite and days remote every week)
Duration:

- Months
Pay Range: $/hr

Job Description
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 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 type of value-added Analytics solutions using data

Responsibilities
The PM/BA will report to the Canada Chief Data Officer. The role will be supporting Data Management activities. This will involve reporting functionally to the Head of Transversal Data Services for Americas.
The Project Manager/Business analyst will drive and contribute to the team implementation of the new data office framework ensuring its execution and maintenance, as well as working in close collaboration with business partners, technology, and other stakeholders.

Transversal Data Services

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 (, Jira, Azure Dev Ops).

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.

Qualifications:
TRAINING AND OCCUPATIONAL EXPERIENCE

Bachelor's degree from a ccrediteduniversity

- 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 Microsoft Office (Word, Excel, PowerPoint)

SKILLS AND BEHAVIOURS

Analytical and problem solving, with a keen sense for processes, analysis, and documentation

Bachelor’s degree in Computer Science, Information Management, Data Science, Business Administration, or a related field. A relevant certification (, PMP, PRINCE, Agile/Scrum) is a good to have.

Rigorous, pro-active, self-disciplined, self-motivated

Able to manage changing priorities and meet high quality standards in a fast-paced environment

Professional working proficiency in English

Autonomous execution

Technical skills:

Collibra, Power Bi, Project Management tools, Microsoft Office (Word, Excel, PowerPoint)