Our Customer: Our customer is an enterprise organization developing data, analytics and business intelligence solutions. The team works on data warehouse, BI and enterprise applications, using Scrum and SAFe practices.
Your Tasks:
Lead and facilitate Agile ceremonies, including Daily Stand-ups, Sprint Planning, Backlog Refinement, Sprint Reviews, Retrospectives and PI Planning activities
Coach teams on Scrum, Agile, Lean and continuous improvement practices
Remove impediments and resolve blockers that affect delivery and team velocity
Partner with Product Owners to keep the backlog ready and sprints running efficiently
Monitor sprint progress, risks, dependencies and delivery commitments
Provide transparency through sprint metrics, reporting and stakeholder communication
Facilitate collaboration across development, QA, BI, Data Engineering and business stakeholders
Drive adoption of Definition of Ready and Definition of Done across the delivery pod
Track retrospective actions and lead continuous improvement initiatives
Promote team accountability, self-organization and servant leadership
Required Experience and Skills:
5+ years of experience as a Scrum Master, Agile Coach or in an equivalent Agile delivery role
Deep understanding of Scrum and Agile methodologies
Solid understanding of Kanban
Working knowledge of the SAFe framework
Hands-on experience facilitating Agile ceremonies for cross-functional teams
Proven ability to manage risks, dependencies and stakeholder expectations
Strong facilitation and conflict-resolution skills
Excellent communication skills
Hands-on experience with Jira or similar Agile management tools
Strong analytical skills
Strong organizational skills
English — Upper-Intermediate
Would Be a Plus:
Scrum Master certification (CSM, PSM, SAFe Scrum Master or equivalent)
Experience in Data, Analytics, BI (including Power BI), Data Warehouse or enterprise application environments
Hands-on experience supporting PI Planning and scaled Agile delivery models (SAFe)
Bachelor’s degree in Information Systems, Computer Science, Engineering or a related field
Working conditions:
5-day working week, 8-hour working day;
Remote work.
