Business problem
Four globally distributed centres managed the quality of 500+ projects offline. When project volume doubled, the approach broke down and left gaps in quality governance.
Solution
I led a 15-member cross-functional product team to deliver an end-to-end, machine-learning-enabled platform across 8 releases and 20+ sprints. I architected the data integration layer connecting 10+ systems via APIs into a data warehouse, and helped design 35+ Power BI dashboards surfacing 200+ KPIs. I drove adoption end to end through demos, webcasts and executive walkthroughs.
Outcome
The platform let the Quality CoE track quality closely as project volume grew 4x and keep 40,000+ project stakeholders informed. Beyond diagnostic monitoring, its machine-learning models flagged projects likely to become risky.