Associate Scrum Master
4 days ago
Area(s) of responsibility
What You'll Do
Build & automate reporting
Design Power BI dashboards and scorecards sourced from Azure DevOps (Boards/Repos/Pipelines).
- Track key metrics: velocity/predictability, throughput, cycle & lead time, defect trends, DORA (deploy freq, change failure rate, MTTR).
Deliver weekly/monthly executive readouts and ad-hoc analyses.
ADO data quality
Maintain queries, fields, workflows, tags, and iteration/area paths.
Run regular audits; improve data hygiene and consistency across teams.
Operational cadence
Orchestrate sprint/release calendars, quarterly planning, and backlog health reviews.
Standardize templates for status, risk/issue logs, and decision records.
Administration & coordination
Prep materials for exec forums; manage meeting logistics, follow-ups, and action tracking.
Support license/admin for ADO/Power BI; light vendor/SOW and budget tracking.
Continuous improvement
Identify bottlenecks via data; propose and drive process changes.
Document SOPs and lightweight playbooks for repeatable execution.
Compliance & change management
Help with audit readiness , security reports and change logs tied to releases.
What You Surely Bring
- 8+ years of total experience with minimum 5 years in engineering operations, PMO/portfolio analytics, BI, or similar.
- Azure DevOps: Advanced Boards/Queries/Analytics; comfortable with repos/pipelines concepts.
- Power BI: Strong data modeling, Power Query, and DAX; ability to automate refresh and publish.
- Excel power user: Pivot tables, Power Query, functions (e.g., XLOOKUP), data cleansing.
- Data skills: SQL for joins/aggregations; ability to connect APIs (ADO REST) is a plus.
- Delivery savvy: Understanding of Agile/Scrum/SAFe practices and CI/CD fundamentals.
- Communication: Clear storytelling with data; concise executive summaries.
- Mindset: Ownership, speed, and a practical "figure it out" attitude.
Nice to have
- Scripting (Python/R) for data wrangling or automation.
- Experience with Confluence/SharePoint, ServiceNow/Smartsheet, or OKR tooling.
- Background in enterprise software or product engineering environments.
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