Caesar Soledad

Lead program manager & SME for all candidate offers at Uber. Frequent project collaboration with cross-functional partners (Engineering, Product, People Tech, Talent Acquisition) to ensure smoother global hiring processes using various HR systems (Workday, iCIMS, Exari)

• Identified process solutions, automation requirements & offers data reporting capabilities for new global candidate hiring tool. New offers tool improved efficiency, accuracy & scalability of talent acquisition workflows and hiring at Uber by 70%
• Designed scalable Tableau dashboards with TA Analytics to track key hiring statistics for ELT +1/Director decision-making & strategy including: position in range for all new hires, location of hire, competing offer comparisons, & acceptance rate
• Performed global pay equity & offers data analyses, identifying potential fair pay risks for Director-level strategic initiatives. Analyses led to global changes in compensation methodology & external Legal validation of Uber’s fair pay practices in annual stockholder reports
• Lead for University compensation programs. Conducted market research and analysis to benchmark compensation practices against industry standards & make data-driven recommendations for Uber's 300+ new grad hiring ecosystem 

• Provided recommendations to City CIO for employee scheduling and workflow improvements, resulting in implementation of department-wide timesheet interface
• Improved city-wide rate model for SFCloud and SF Azure usage with budget teams, correcting for up to 30% over allocation in projected city cloud usage for various city departments

• Visualized and presented current-to-future workflows to institute director for improving research grant application process. Increased efficiencies in application process for 700 post-doctorates, fellows and medical students by 25%