Data Project Manager

Iris Software Inc.

Toronto

Hybrid

CAD 90,000 - 130,000

Full time

19 hours ago
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Job summary

Iris Software Inc. in Toronto, ON is seeking a Data Project Manager to lead data, BI and analytics initiatives. The role requires 10+ years in project management, with experience in Banking/Financial Services and strong stakeholder management. Hybrid work with three days onsite per week.

You will oversee data warehousing, reporting projects, and use tools like Power BI, Tableau, and SQL to drive deliverables for clients in a Fortune 100 direct client context.

Qualifications

  • 10+ years of project management experience.
  • Experience in Banking/Financial Services sector.
  • Experience managing data, BI, reporting, data warehouse, or analytics projects.
  • Strong stakeholder management and communication skills.
  • Experience with Agile and/or Waterfall delivery methodologies.
  • Familiarity with Power BI, Tableau, SQL and data warehouses.

Responsibilities

  • Lead end-to-end data, BI and analytics projects.
  • Coordinate cross-functional teams and manage stakeholders.
  • Ensure delivery using Agile and/or Waterfall methodologies.
  • Collaborate with banking/financial services clients to meet requirements.

Skills

Project management
Banking/financial services
Data/BI/Analytics projects
Stakeholder management
Agile/waterfall delivery

Tools

Power BI
Tableau
SQL
Data warehouses

Job description

Iris's Fortune 100 direct client is looking Data Project Manager. Please find below Job description and


Position: Data Project Manager

Toronto: Toronto, ON (Hybrid, 3 days onsite in a week)

Required Experience


  • 10+ years of strong experience in Project Management experience.

  • Proven experience working within Banking / Financial Services.

  • Experience managing Data, BI, Reporting, Data Warehouse, or Analytics projects.

  • Strong stakeholder management and communication skills.

  • Experience with Agile and/or Waterfall delivery methodologies.

  • Familiarity with tools such as Power BI, Tableau, SQL, data warehouses

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