Senior Lead manager

BigData Development Seminole, Florida, United States

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Summary

A seasoned Data Architect and Senior Manager with over two decades of experience in data warehousing, business intelligence, and database administration. He has a proven track record of leading cross-functional teams and driving strategic BI initiatives that enhance organizational performance. At Universal Truckload and Services, he managed a large portfolio of SQL Server databases and developed a complex data warehouse integrating diverse data sources, resulting in measurable operational improvements such as a 25% increase in database performance and significant gains in safety, truck utilization, and employee retention through tailored BI applications.

He has also demonstrated strong leadership in global technical teams and BI strategy development during his tenure at Jabil, where he successfully led SAP migrations, implemented advanced ETL solutions, and contributed to innovative data analytics projects including sentiment analysis. His technical expertise spans SQL Server, SAP HANA, Hadoop, and modern BI tools like Qlik Sense and PowerBI, complemented by programming skills in Python, Scala, and ABAP.

Throughout his career, he has consistently delivered scalable data solutions, optimized performance, and embraced emerging technologies such as AI-driven code reviews and cloud data platforms, evidencing his commitment to continuous innovation and excellence in data management.

Expectations

Leadership and Mentorship: Seeking a role where I can lead and mentor technical teams, fostering professional growth, collaboration, and knowledge sharing to build high-performing, motivated groups.

Strategic Data Architecture: Desire to drive the design and implementation of scalable data architectures and advanced data platforms that align with strategic business goals.

Performance Optimization: Opportunities to lead performance tuning initiatives across databases, ETL processes, and BI applications to improve efficiency, reliability, and scalability.

Innovation and Technology Adoption: Eagerness to explore and implement cutting-edge technologies such as cloud data warehouses (Snowflake, Plaintair), modern data lake frameworks (Apache Iceberg), AI-driven automation, and advanced analytics.

Cross-functional Collaboration: Expect to work closely with business stakeholders and technical teams to translate complex data challenges into actionable solutions and drive business impact.