Chris Ponce

Manager - Data Governance @Zenith

New York, NY, US

Translate complex business and analytics needs into clear requirements, solution designs, and business rules for data engineering teams to implement. Define and maintain data quality standards by partnering with engineering to automate validation checks and build QA dashboards. Perform first-line validation of new data feeds, troubleshoot issues across back-end, front-end, and business logic, and lead root-cause analysis for errors. Establish taxonomy and compliance processes, coordinating with investment teams to ensure accurate setup and consistent reporting. Identify workflow gaps and drive process improvements, standardizing business rules and enabling automation to increase efficiency. Collaborate closely with analytics, finance, operations, and investment teams to align reporting, governance, and data workflows. Contribute strategic input into publisher data processes and governance frameworks to deliver scalable and reliable solutions. Design, deploy, and maintain AI-powered solutions and agents using platforms such as Microsoft Copilot, Google Gemini, and other LLM-based tools; tailor implementations to specific business units and use cases while leveraging Power Automate to streamline workflows, drive operational efficiencies, and enhance decision-making.