🔍 **Senior Vice President | Data & IT Expert | Strategic Innovator**With over two decades of executive leadership in IT, I've specialized in data-centric roles, driving transformative change across industries. My expertise lies in steering cross-functional teams in data governance, architecture, engineering, and security, with a keen focus on implementing cutting-edge technologies in advanced analytics, business intelligence, and cloud computing.🌟 **Key Achievements**:- Strategized the integration of diverse data across enterprise platforms, bolstering data science capabilities and digital transformation initiatives.- Partnered with global leaders to infuse data-driven decision-making into core business processes, consistently delivering actionable insights.- Managed multi-million-dollar budgets, ensuring optimal resource allocation and financial planning.- Presented at esteemed conferences like the KC IT Symposium, St. Louis Gateway to Innovation, and more, sharing insights on Business Intelligence, Data Governance & Analytics.- Proud member and Vice Chair of the **UMKC Bloch School of Management Business Analytics Advisory Board**, contributing to the advancement of business analytics education and practices.🛠️ **Technological Proficiencies**: Power BI, Dataiku, Snowflake, AWS, Salesforce, Matillion, H2O, Symantec, Guardium, and more.🎯 **Core Competencies**:- **Leadership**: Set clear team objectives, aligning with organizational goals and inspiring proactive behavior.- **Innovation**: Championed the integration of modern technologies, staying ahead of industry trends.- **Vendor Relationships**: Cultivated robust partnerships, influencing product roadmaps and ensuring high-quality service.- **Strategy & Roadmap**: Crafted visionary technology roadmaps, delivering capabilities through innovative solutions.Passionate about data and its potential, I collaborate daily with business leaders, data stewards, and analysts to bridge data gaps and needs. I'm committed to fostering a culture of rapid data discovery, enabling machine learning model training, and testing to drive business growth.
Listed skills include Business Intelligence, Data Warehousing, Databases, Etl, and 28 others.