ERGO Next Insurance
Global VP, Data
•Leading the consolidation of three independent data functions: Data Science, Analytics Engineering, and Data Engineering into one unified Analytics & Insights organization; rebuilt operating model, team identity, and executive trust from the ground up. •Own the data backbone of a direct-to-consumer marketing engine where ~⅓ of company revenue is acquired through TikTok, Instagram, Facebook, YouTube, and adjacent digital channels directing Data Science, Analytics Engineering, and Data Engineering teams in support of paid social attribution, customer acquisition modeling, LTV, audience segmentation, and campaign performance analytics. •Authored the Data Organization Strategic Roadmap (2026–2027), positioning analytics as the discipline engine for business decisions across Claims, Underwriting, Finance, Agency Operations, and D2C Marketing. •Driving AI adoption as a company-wide cultural shift, not just a technology rollout while partnering with business teams to onboard non-technical users onto AI-powered self-service tools, establishing usage metrics, and building cross-functional champion networks (e.g., Genie Owners Guild) that sustain peer-driven learning and momentum. •Deployed AI-powered insight tools including natural language self-service BI (Databricks Genie, ~90% benchmark accuracy), predictive customer risk modeling, AI-driven claims classification •(~85–90% accuracy on a 22K-claim backlog), and underwriting automation and enabling business teams to generate and act on insights independently. Architecting data governance and delivery model for a post-acquisition environment, balancing NEXT's product-driven speed with ERGO/Munich Re board-grade auditability and regulatory standards. •Established data observability framework (Monte Carlo, Unity Catalog) and ownership protocols to ensure decision-makers can trust the data powering commercial choices.
