Scrum Master-Data/Cloud Migration
- Mississauga, ON, Canada
$65.22 to $78.26 CAD / hour · Contract
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Job details
- Pay
- $65.22 to $78.26 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Working with one of our top financial clients, this role calls for a Scrum Master-Data/Cloud Migration to support the maintenance and enhancement of a data platform within a collaborative delivery team. The successful candidate will bring strong Agile leadership, facilitate risk-related product delivery, and help teams establish effective ways of working.
Pay rate range(CAD): $65.22/hr – $78.26/hr
Responsibilities
- Lead Scrum teams and delivery pods through effective Agile practices and ceremonies.
- Facilitate PI Planning sessions and other Agile@Scale events.
- Guide teams through sprint planning, stand-ups, reviews, retrospectives, and backlog refinement.
- Apply Scrum or Kanban practices based on delivery needs.
- Use Jira and Confluence to manage work items, documentation, planning, and delivery visibility.
- Support the formation of new teams and help them establish productive delivery routines.
- Influence stakeholders and delivery partners to maintain alignment with objectives and timelines.
- Identify impediments, resolve delivery challenges, and enable continuous improvement.
- Monitor work item cycle time and use delivery insights to support team performance.
- Provide strong leadership while collaborating with internal business and technology partners.
- Support the delivery of risk-related products within an Agile framework.
- Five to seven years of overall professional experience.
- Degree in Computer Science or a related discipline.
- Strong knowledge of Scrum with a technology-focused delivery background.
- Practical experience with Agile@Scale, including leading PI Planning sessions and related ceremonies.
- Advanced proficiency with Jira and Confluence.
- Proficiency in Kanban and the ability to transition between Scrum and Kanban as required.
- Proven experience leading a team or delivery pod.
- Exceptional leadership and influencing skills.
- Strong written and verbal communication abilities.
- Keen problem-solving skills.
- Ability to establish new teams and quickly support them through initial sprint delivery.
- Ability to learn quickly, adapt to new environments, and support data-focused business teams.
- Experience in the financial services industry is preferred.
- Knowledge of Data as a Service environments.
- Understanding of data consumption practices.
- Experience with Rahona.
- Experience supporting cloud migration initiatives.
- Knowledge of data lakes.
- Knowledge of data ingestion.
- Coding experience.
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More about this job
Responsibilities
Lead Scrum teams and delivery pods through Agile ceremonies, PI Planning, and Scrum or Kanban practices, using Jira and Confluence to coordinate and track delivery. Support risk-related data platform initiatives, remove impediments, align stakeholders, establish effective team routines, and use delivery insights to drive continuous improvement.
Requirements
Requires five to seven years of professional experience, a degree in Computer Science or a related discipline, strong Scrum and technology delivery experience, and practical Agile@Scale experience. Candidates should be proficient with Jira, Confluence, and Kanban, and demonstrate leadership, communication, problem-solving, and the ability to establish new teams; financial services experience is preferred.
Skills
- Scrum
- Agile Leadership
- Agile@Scale
- PI Planning
- Kanban
- Jira
- Confluence
- Stakeholder Management
- Risk-Related Product Delivery
- Team Leadership
- Backlog Refinement
- Continuous Improvement
- Data Platform Delivery
- Cloud Migration
- Communication
- Problem-Solving
Visa sponsorship
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Categories
- Technology
- Management & Leadership
- Data & Analytics
- Software
- Finance & Accounting
Keywords
- Scrum
- Agile
- Agile@Scale
- PI Planning
- Kanban
- Jira
- Confluence
- Sprint Planning
- Stand-Ups
- Sprint Reviews
- Retrospectives
- Backlog Refinement
- Data Platform
- Cloud Migration
- Risk-Related Products
- Financial Services
- Data as a Service
- Data Consumption
- Rahona
- Data Lakes
- Data Ingestion
- Cycle Time
- Delivery Pods
- Continuous Improvement
- Stakeholder Alignment
- Computer Science