AI-Driven Data Platform Program Manager

Paralucent Inc

Toronto

Hybrid

CAD 120,000 - 180,000

Full time

14 days+

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Job summary

Paralucent Inc. in the Greater Toronto Area is seeking a tech-centric, data-driven Project Manager to lead an enterprise data platform transformation.

You will coordinate cross-functional teams, manage data modernization initiatives, and guide AI-assisted delivery practices across multiple workstreams. The role focuses on migrating from legacy EDW to modern cloud platforms, delivering analytics capabilities, and enabling AI-driven solutions with clear governance and proactive risk management.

Qualifications

  • 7+ years of Project Management experience leading medium-to-large enterprise technology initiatives.
  • Proven experience managing enterprise data, analytics, BI, reporting, or data transformation programs.
  • Experience with AI-assisted delivery and familiarity with topics like Github Copilot and Agentic frameworks is an asset to this role.

Responsibilities

  • Lead the project in the capacity of a Project Manager/Scrum Master.
  • Coordinate project plans, schedules, milestones, dependencies, budgets, risks, issues, and resources.
  • Adopt AI-assisted delivery methodologies and drive execution across multiple workstreams.
  • Facilitate migration and modernization of data assets from legacy EDW to cloud-based platforms.
  • Ensure teams remain accountable for deliverables and timelines.
  • Provide clear reporting on project health, progress, and decisions.

Skills

Project management
Enterprise data programs
Agile delivery
Data engineering concepts
Stakeholder management
AI-assisted delivery

Tools

Github Copilot
Agentic frameworks

Job description

Paralucent Inc. in the Greater Toronto Area is seeking a tech-centric, data-driven Project Manager to lead an enterprise data platform transformation.

You will coordinate cross-functional teams, manage data modernization initiatives, and guide AI-assisted delivery practices across multiple workstreams. The role focuses on migrating from legacy EDW to modern cloud platforms, delivering analytics capabilities, and enabling AI-driven solutions with clear governance and proactive risk management.

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