Mastan Madina

• Lead enterprise-wide analytics strategy and execution across all business functions, serving as the organization's central authority on data insights, reporting, and AI innovation.
• Manage a hybrid analytics ecosystem spanning legacy BI tools (Oracle BI, Palantir) and modern platforms (Azure, Databricks, Power BI), ensuring reliable support, data integrity, and modernization.
• Built and currently lead a high-performing team responsible for end-to-end data lifecycle — from ingestion and transformation to executive dashboards and self-service reporting.
• Initiated and now lead the enterprise AI strategy, including governance alignment, use case pipeline development, and hands-on delivery of generative AI proof-of-concepts across key domains.
• Partner with executive leadership to align analytics investments with business strategy, drive cost savings, and foster a data-driven culture across the enterprise.

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Key Achievements:

• Established Radius’s modern data platform using Azure Databricks and Delta Lakehouse architecture, enabling faster insights, scalable analytics, and self-service BI while enforcing robust enterprise-wide data governance standards.
• Led the National Transportation Command Center initiative — architected a suite of dashboards, reports, and performance scorecards that provided full visibility into carrier usage, SLAs, and cost efficiency. Delivered 100%+ ROI in the first year through transportation cost optimization and improved carrier management.
• Enabled end-to-end funnel visibility for Autos Marketing, developing targeted dashboards to track leads, conversions, and campaign performance. Resulted in a 20% increase in qualified leads and helped shift the team to a focused, data-driven outreach strategy.
• Delivered AI-driven proof-of-concepts focused on document intelligence and generative chatbots to improve safety and field operations. Use cases included a Safety Chatbot and Repair Instructions Chatbot, enabling frontline operators to quickly access critical SOPs and troubleshooting guidance — reducing time-to-information and improving compliance in the field.

• Held multiple roles over 8 years, including Senior Data Engineer, Data Analytics Lead, and Technical Project Manager supporting enterprise analytics initiatives across USDA’s Farm Service Agency.
• Led development of a comprehensive Enterprise Data Warehouse to provide visibility into acreage reporting, farm loan analytics, payments and receivables tracking, and agricultural program performance.
• Collaborated with cross-functional teams including business analysts, policy experts, and IT developers to gather requirements, define KPIs, and deliver scalable data solutions supporting mission-critical operations.
• Designed and implemented strategy to migrate legacy data warehouse platforms to cloud-native infrastructure using AWS services — improving scalability, data accessibility, and long-term maintainability.
• Championed adoption of modern data engineering practices, metadata management, and standardized reporting frameworks to enhance data quality and governance.

Built a strong technical foundation in enterprise data analytics and business intelligence over a decade of project-based work across public and private sector clients. Led and supported end-to-end delivery of data warehouse initiatives, data migration projects, and reporting system implementations. Hands-on experience designing and developing scalable data warehousing solutions using star and snowflake schemas; worked across SQL Server, Oracle, DB2, and PostgreSQL databases. Skilled in ETL development using tools such as SSIS, IBM DataStage, and Oracle Data Integrator (ODI). Delivered enterprise reporting solutions using Hyperion, OBIEE, BusinessObjects, Cognos, and Crystal Reports. Developed deep expertise in system integration, data modeling, performance tuning, and BI best practices that laid the foundation for future leadership in data strategy and enterprise analytics.