Senior Agile Scrum Master
2 weeks ago
Scrum Master Location: Montréal, QC (Need Onsite day 1, Hybrid 3 days from office, No Remote).
We are seeking a qualified Scrum Master with a strong background as a Business Analyst in the Capital Markets domain, specifically focusing on Equities and Derivatives. The ideal candidate will possess a solid understanding of data projects, particularly in areas such as Data Lineage, Data Governance, and Data Attestation. This role requires a proactive leader who can facilitate Agile practices and foster a collaborative team environment.
Agile Leadership:
Serve as a Scrum Master to facilitate Agile ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives.
Coach and mentor the team in Agile methodologies, ensuring adherence to Scrum values and principles.
Collaborate with product owners and stakeholders to define project scope, goals, and deliverables.
Act as a liaison between technical teams and business stakeholders, ensuring clear communication and alignment.
Business Analysis:
Leverage Business Analyst experience to gather, analyze, and document business requirements related to data projects.
Data Project Management:
Oversee data governance initiatives, ensuring compliance and adherence to data quality standards.
Manage and monitor data lineage processes, ensuring transparency and traceability of data flows.
Technical Skills:
Utilize SQL for data querying, analysis, and reporting to support decision-making processes.
Apply Python programming skills to automate repetitive tasks or enhance data-related processes (preferred but not mandatory).
Identify areas for process improvements and implement strategies to optimize team performance.
Track and report on team performance metrics, aiding in transparency and accountability.
Provide regular updates to stakeholders on project progress, risks, and impediments.
Bachelor’s degree in computer science, Information Technology, Finance, or a related field.
Certifications: Certified Scrum Master (CSM) certification is mandatory.
Technical Skills:
Proficient in SQL for data manipulation and reporting.
Experience with Python programming is a plus.
Experience in working on data lineage, data governance, and data attestation projects.
Familiarity with other Agile frameworks (e.g.,
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