Develop BI models, dashboards, ETL pipelines and analytics (descriptive through prescriptive) to support program performance visibility. Clean and preprocess data, identify KPIs, collaborate with stakeholders, train users, and support data-driven decision making for engineering and business teams.

Leads data governance architecture and implementation, including MDM and data quality tools. Evaluates governance products for functionality, compliance, security, and integration suitability; defines requirements, standards, and strategies; manages tool configuration; assesses architectural constraints and lifecycle impacts; and ensures data systems meet security and regulatory requirements, including ITAR compliance.