Responsibilities:
- Design, develop, and deploy end-to-end Power BI dashboards for Agile, DevOps, and delivery metrics using data from ADO, GitHub, and CI/CD pipelines
- Build data models and transformations in Power Query and DAX to calculate key KPIs (e.g., velocity, lead time, deployment frequency, MTTR, sprint health)
- Implement automated data ingestion via ADO and GitHub REST APIs, handling authentication, pagination, and incremental refreshes
- Collaborate with Agile CoE and DevOps teams to define metrics, business logic, and dashboard requirements aligned with DORA and Agile standards
- Integrate AI and predictive analytics (Azure ML, Python/R scripts, Cognitive Services) for insights such as sprint risk prediction, anomaly detection, and forecasted delivery trends
- Lead by example in Power BI development best practices, including workspace governance, dataflows, version control in GitHub, and CI/CD pipelines for reports
- Create intuitive, executive-level visualizations that tell a story — emphasizing actionable insights over vanity metrics
- Drive adoption of AI-enabled Power BI features, including Q&A, natural language querying, and smart narrative visuals
- Ensure data governance, performance optimization, and security (RLS, access control, gateway management) across environments
Requirements:
- 7+ years of hands-on Power BI experience, including data modeling, DAX, and complex transformations
- Proven experience connecting Power BI to Azure DevOps and GitHub REST APIs to build Agile/DevOps dashboards
- Strong command of Power Query (M), DAX, and semantic modeling for multi-source datasets
- Experience with AI and analytics integration, including Azure ML, Python/R scripts, and Power BI’s AI visuals
- Working knowledge of Agile metrics and DevOps KPIs (velocity, cycle time, deployment frequency, lead time for change, etc.)
- Familiarity with data pipeline orchestration (Dataflows, Data Factory, or Fabric) and report lifecycle management
- Practical understanding of version control (GitHub) and DevOps deployment pipelines for BI assets
- Excellent stakeholder engagement and communication — able to translate data into strategy
- Bachelor's degree in Computer Science, Data Analytics, or related field
Nice-to-Have Skills
- Experience with Azure Synapse, Fabric, or Databricks as data backends
- Knowledge of Agile methodologies and Jira or similar tools
- Familiarity with Power BI REST API, embedding, and Power Automate integration
- Exposure to predictive modeling and generative AI for reporting enhancement
Top Skills
What We Do
Egen is a data engineering and cloud modernization firm partnering with leading Chicagoland companies to launch, scale, and modernize industry-changing technologies. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary.
Our mission is to be an enabler of amazing possibilities for companies looking to use the power of cloud and data. We want to stand shoulder to shoulder with clients, as true technology partners, and make sure they succeed at what they have set out to do. We want to be disruptors, game-changers, and innovators who have played an important part in moving the world forward.

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