At Omnicom Media Group's Marketing Science team, data quality issues were causing significant business impact. The team managed over 1000+ datasets with complex dependencies, but lacked visibility into data lineage and quality metrics. Manual monitoring processes were consuming 20+ hours weekly, and incident response times averaged 48 hours.

Design and implement an automated data governance platform to monitor data quality, visualize data lineage, and reduce incident response time while ensuring compliance with Meta's data standards.

• Led end-to-end development of a data governance application on Domo platform, serving 200+ users
• Architected automated tracking system for 1000+ datasets, capturing metadata, transformations, and ownership
• Implemented real-time monitoring with customizable thresholds and ML-based anomaly detection
• Developed interactive data lineage visualization showing upstream/downstream dependencies
• Created automated alert routing system based on data ownership and impact severity
• Established data quality scoring framework with 15+ key metrics

Reduced data quality issues by 80% through proactive monitoring and preventionDecreased mean time to detect anomalies from 48 hours to 5 minutesImproved incident response time by 90% through automated alert routingAchieved 95% compliance with data governance standardsEliminated 20 hours per week of manual monitoring tasksPlatform adopted by 4 other teams within OMG, impacting $1B+ in marketing spend