Lead the creation, automation, and governance of the data foundation, metric definitions, and dashboards that power the Product Performance Management System.
Ensure product and engineering performance data is accurate, standardized, and decision-ready.
Partner cross-functionally to deliver portfolio-level insights, establish reporting standards, and translate complex data into strategic narratives.
Build, maintain, and optimize Power BI dashboards that track product and engineering performance.
Design scalable data models, semantic layers, and reusable datasets that enable consistent enterprise-wide reporting and self-service analytics.
Define, document, and govern standardized metric definitions, reporting frameworks, and cadence across the product organization.
Validate and ensure data quality and consistency from Azure DevOps (ADO), Jira, and related systems.
Integrate engineering and product management metrics into a unified reporting framework.
Deliver portfolio-level reporting, executive-ready insights, and strategic recommendations to inform investment governance and product performance decisions.
Automate data pipelines and reporting processes to improve efficiency, scalability, and reliability.
Requirements
5 or more years of relevant experience in business intelligence, analytics, enterprise reporting or related roles required.
Advanced experience building dashboards and reports in Power BI required.
Strong proficiency in DAX, data modeling, and Power BI dataset architecture required.
Strong understanding of product management, engineering operations, and portfolio performance metrics required.
Experience working with data from Azure DevOps (ADO), Jira, or similar platforms preferred.
Experience writing SQL and working with enterprise data warehouse or data lake environments preferred.
Demonstrated experience defining and standardizing enterprise metrics and reporting frameworks.
Strong analytical, critical thinking, and executive-level communication skills.
Microsoft Power BI certification (e.g., PL-300) preferred.