GenAI-driven actionable insights on top of system instrumentation and data analytics. Maximize leadership team's confidence in informed decision making, and spearhead developer velocity.

To develop tools and infrastructure that improve development productivity, velocity, quality, and confidence.

Test Automation for various software and hardware products.

Manage, train, and develop QEs responsible for testing enterprise-level business intelligence projects with cross-functional engineering, testing, and program management teams in the U.S., China, and Poland.

⎯ Solid experience in commercial software development.

⎯ Master in Client/Server, Web, and Mobile Applications testing and automation.

⎯ Excel in meeting objectives using independent action, prioritization, persistence, and leadership skills.

⎯ Effectively manage 35+ geographically distributed QEs and Testers by developing virtual meeting places and collaboration tools to encourage communication and expedite knowledge sharing.

⎯ Direct simultaneous test coverage for 6+ separate enterprise-level products, most delivering multiple releases per year under tight deadlines.

⎯ Coordinate with leaders across the organization to ensure QA strategies and programs align with business and product objectives.

⎯ Recruit new employees and design the training syllabus. Mentor, coach, and support employee development to align with organizational goals.

⎯ Develop, direct, and coordinate the testing of all iOS analytics and training apps, including award-winning MicroStrategy Mobile Platform apps.

⎯ Initiate, design, and refine multi-platform test-automation framework that QEs use to increase issue-finding accuracy and reduce maintenance costs.

⎯ Optimize common QE practices and standards among cross-platform teams.

⎯ Avoid technical debt and minimize manual regression testing needs by continuously adjusting priorities among unit, integration, system, and interface test types.

⎯ Provide immediate guidance and assistance with calls, workarounds and site visits for customer inquiries and issues.

Implemented solutions to facilitate data availability and analysis in complex logistics operations.

⎯ Established data transfer and transformation processes to maintain, enhance, and ensure the ongoing availability and accuracy of data warehouse.

⎯ Integrated enterprise-wide historical data for management analysis using JavaScript, HTML, JSP, CSS, JDBC, PL/SQL, UNIX, etc.