Capital Markets Project Manager / Scrum Master
- Canada
Contract
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Job details
- Job type
- Contract
- Experience
- 8+ years of experience in project management, with at least 3 years leading data engineering, data platform, or analytics projects.
- Posting language
- English
- Posted
Original job description
Job Title: Capital Market PM
Location: Canada
Job Summary
We are seeking an experienced Senior Project Manager / Scrum Master to lead data engineering, analytics, and data governance initiatives within a capital markets environment. The ideal candidate will have strong project management and Agile delivery experience, along with hands-on project exposure to Databricks and Microsoft Azure.
This role requires close collaboration with cross-functional teams, including data engineers, architects, business analysts, and business stakeholders, to deliver scalable data solutions supporting trading, risk management, regulatory reporting, and investment operations.
Key Responsibilities
- Lead end-to-end delivery of data platform projects, from planning and requirements gathering through implementation, deployment, and post-production support.
- Serve as Scrum Master for Agile teams, facilitating sprint planning, daily stand-ups, sprint reviews, and retrospectives.
- Manage project scope, timelines, budgets, risks, dependencies, and delivery milestones.
- Collaborate with business stakeholders and business analysts to translate business requirements into prioritized backlogs and actionable delivery plans.
- Drive data governance initiatives involving policies, processes, technology solutions, and governance automation.
- Coordinate with data engineers, solution architects, analysts, and external vendors to ensure successful project execution.
- Monitor project progress and provide regular status updates, risk assessments, and delivery reports to senior leadership.
- Identify and remove delivery blockers while promoting continuous improvement and Agile best practices.
- Ensure alignment between business objectives, technical requirements, data quality standards, and project deliverables.
- Support cloud data migration initiatives from legacy on-premises platforms, where required.
Required Qualifications
- 8+ years of experience in project management, with at least 3 years leading data engineering, data platform, or analytics projects.
- Proven experience managing projects involving Databricks and Microsoft Azure cloud data services.
- Demonstrated experience working as a Scrum Master within Agile delivery environments.
- Strong understanding of capital markets, including trading, risk management, regulatory reporting, or investment operations.
- Familiarity with lakehouse architecture, Delta Lake, ETL/ELT pipelines, and CI/CD practices.
- Experience managing data governance projects, including governance processes, policies, technology implementation, or automation.
- Proficiency with Jira, Azure DevOps, or similar project and Agile management tools.
- Excellent communication, leadership, problem-solving, and stakeholder management skills.
- Ability to communicate effectively with both technical teams and business stakeholders.
Preferred Qualifications
- PMP, Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or SAFe certification.
- Experience leading cloud data migration projects from legacy on-premises data platforms.
- Experience working with enterprise-scale data platforms and cross-functional delivery teams.
- Familiarity with data quality, metadata management, data lineage, and enterprise data governance frameworks.
Key Skills
- Project Management
- Scrum Master / Agile Delivery
- Databricks
- Microsoft Azure
- Data Engineering and Analytics
- Capital Markets
- Data Governance
- ETL/ELT Pipelines
- Lakehouse Architecture and Delta Lake
- Jira / Azure DevOps
More about this job
Responsibilities
Lead end-to-end delivery of capital markets data platform, engineering, analytics, and governance projects, managing scope, schedules, budgets, risks, dependencies, and stakeholder coordination. Facilitate Agile ceremonies, remove delivery blockers, report progress to senior leadership, and ensure solutions meet business, technical, and data quality objectives.
Requirements
Requires 8+ years of project management experience, including at least 3 years leading data engineering, data platform, or analytics projects, with hands-on project exposure to Databricks and Microsoft Azure. Candidates should have Scrum Master experience, capital markets knowledge, familiarity with lakehouse architecture, Delta Lake, ETL/ELT, CI/CD, and data governance; PMP, Scrum, or SAFe certifications are preferred.
Skills
- Project Management
- Scrum Master
- Agile Delivery
- Databricks
- Microsoft Azure
- Data Engineering
- Data Analytics
- Capital Markets
- Data Governance
- ETL/ELT Pipelines
- Lakehouse Architecture
- Delta Lake
- Jira
- Azure DevOps
- Stakeholder Management
- Cloud Data Migration
Visa sponsorship
Not detected in the job text
Categories
- Management & Leadership
- Technology
- Data & Analytics
- Finance & Accounting
Keywords
- Project Management
- Scrum Master
- Agile Delivery
- Databricks
- Microsoft Azure
- Data Engineering
- Data Analytics
- Capital Markets
- Trading
- Risk Management
- Regulatory Reporting
- Investment Operations
- Data Governance
- Lakehouse Architecture
- Delta Lake
- ETL/ELT Pipelines
- CI/CD
- Jira
- Azure DevOps
- Cloud Data Migration
- Data Quality
- Metadata Management
- Data Lineage
- PMP
- Certified ScrumMaster
- Professional Scrum Master
- SAFe