Bachelor's degree in a technical discipline, preferably computer science, or equivalent experience
7 years in software engineering, data engineering, data analytics, or business intelligence with 3-5 years in project/program management
Expertise in planning, estimating, and execution using Lean/Agile techniques with required knowledge of Jira and Confluence
Familiarity with data and cloud platforms such as Big Data, Hadoop, Spark, Data Warehouses, Data Lakes, Tableau, and tools like Ab Initio, Snowflake, AWS
Excellent verbal and written communication skills to engage with technical management teams
Strong organizational and multitasking skills to thrive in a fast-paced, ambiguous environment
Ability to engage and motivate cross-functional teams towards achieving challenging goals
Interpersonal skills for effective relationship building in diverse teams
Proficient analytical and quantitative skills to utilize hard data in decision making
Certified in Safe Scrum Management
Responsibilities
Orchestrate the output of 23 Consumer Data Platform scrum teams to ensure they deliver business value effectively
Collaborate with product owners to clarify team deliverables and their organizational value
Work with engineering leads to assess trade-offs and define solution architecture
Develop realistic plans based on engineering tasks and dependencies to instill confidence in delivery timelines
Facilitate sprint execution to ensure timely feature shipping while identifying and resolving blockers
Lead Agile planning including standups, demos, retrospectives, and sprint execution
Ensure all software solutions comply with SDLC processes, producing necessary artifacts promptly
Oversee technical debt and enforce modern development practices across teams
Promote operational excellence by ensuring timely resolution of production defects and monitoring SLAs
Adapt successfully in ambiguous environments while maintaining high ownership and standards
Communicate effectively at all levels, both verbally and in writing
Embrace continuous learning across business models, engineering practices, and data technologies
Benefits
Collaborative work environment focusing on operational excellence
Opportunities for continuous learning and professional development
Engagement with diverse, cross-functional teams
Access to advanced tools and technologies
Flexible working arrangements in a modern workspace
Full Job Description
Role description
Role: Scrum Master
Location: Mississauga, ON
Roles & Responsibilities:
Orchestrating the work of 23 Consumer Data Platform scrum teams so that they deliver business value and execute on their roadmap with discipline and high velocity
Partnering with product owners on the team to ensure the team understands the work the team is accountable for delivering and the value to the organization
Having understanding of what the team must deliver partner with engineering leads on the team to explore the tradeoffs of various solution options align on solution architecture and break down the engineering work needed to deliver
Creating believable and achievable plans based on engineering work and dependencies that generate confidence that the team can deliver to committed dates
Orchestrating execution across one or more sprints to successfully ship features on time and under budget looking around the corner for blockers and proactively working with your team partners and leaders to create visibility and remove them
Being the scrum master for your team Own Agile planning standups demos retrospectives and the execution of your sprints
Making sure solutionssoftware built is compliant with agreed SDLC process artifacts and required artifacts are produced and tracked in a timely manner
Keeping technical debt in check and ensuring teams are building using modern practices and tools driving necessary changes for the entire development community
Cultivating operational excellence within your teams Insist that your teams provide timely resolution of identified production defects Understand SLAs and how your systems are performing in relation to them
Operating successfully in ambiguous environments with a high degree of ownership customer obsession and bias for action while insisting on high standards for yourself and others
Clearly Communicating upward and outward verbally and in writing
Being a continuous learner be it business models engineering practices or data technology platforms
Qualifications
Bachelors degree in a technical discipline preferably computer science or equivalent experience
7 years of software engineering data engineering data analytics or business intelligence development experience in addition to 35 years of projectprogram management experience working directly with data and analytics technical teams
Strong experience in planning estimating and execution using leanagile techniques Knowledge of Jira and Confluence is required
Understanding of one or more data and cloud platforms required Big DataHadoopSpark Data Warehouse Data Lakes Tableau data ingestion tools like Abnitio and cloud technologies like Snowflake AWS etc
Strong verbal and written communication skills and experience working with technical management teams
Strong organizational and coordination skills along with multitasking capabilities to get things done in an ambiguous fast paced environment
Ability to motivate and drive collaborative effort to reach challenging goals
Interpersonal skills including relationship building within a diverse crossfunctional team
Strong analytical and quantitative skills ability to use hard data and metrics to back up assumptions and recommendations
