Lead Consultant – Agile Scrum Master

Location: Flexible

Salary: Competitive, plus benefits

Contract type: Permanent, Full-time

Responsibilities:

• Utilize extensive programme planning knowledge to steer projects towards success, coordinating workshops, meetings, and managing stakeholder relations.
• Identify and mitigate risks and issues, and manage the dynamic planning process, aligning priorities with roadmap and team capacity.
• Collaborate with the Product Owner to define project scope and translate it into a practical release plan.
• Demonstrate expertise in Agile methodologies, focusing on Kanban and Scrum, to guide teams and enhance processes.
• Transform teams to focus on product-centric work, manage the product backlog, and ensure organizational alignment.
• Facilitate key Agile ceremonies and engage in conflict resolution, upholding core scrum values.
• Forecast iteration deliverables based on reliable data, serve as an Agile practices coach, and develop practical plans for data and analytics projects.

Experience:

• Proven experience in programme planning and management, roadmap definition, and stakeholder engagement.
• Competency in backlog planning and tracking, capacity planning across multiple products, and utilization of various reporting metrics.
• Experience in the parallel delivery of data and analytics products, including pipeline engineering, reporting, analytics, and data science/ML.
• Thorough understanding of agile methodologies, frameworks like Scrum and Kanban, and agile principles and practices.
• Skilled in coaching teams to collaboratively deliver and follow agile principles.
• Knowledge of iterative and incremental development fundamentals.
• Expertise in various Agile techniques such as User Stories, Continuous Integration, Continuous Testing, Pairing, Automated Testing, and Agile Games.

Desirable:

• Skills in programme and delivery management, as well as stakeholder engagement and expectations management.
• Practical knowledge of Scrum & Kanban practices in real-world settings.
• Experience with Microsoft Azure Data Pipeline Development, Azure Platform Capability, and Analytics Products.
• Understanding of cloud-based platforms (PaaS) and the data and analytics delivery lifecycle.
• Ability to implement agile development practices for a new team.
• Experience or familiarity with Data and Analytics in a utility context is a plus.
• Strong understanding of could-based platforms (PAAS) and data and analytics delivery lifecycle
• Agile development practices implementation for a new team
• Utility with Data and Analytics experience is a plus