Ken Angel
Head of Data @ Lantern
About
I’m a full‑stack data & analytics leader who helps executives transforms data to the asset that drives growth, retention, operating efficiency, and enables AI by building the platform and operating model that makes those outcomes repeatable. Over the last 15+ years across healthcare and financial services, I’ve built and scaled teams, standardized enterprise KPIs, and modernized analytics from legacy reporting to cloud-native, governed self‑service at scale. I’m at my best partnering with C‑suite and functional leaders to align on the few metrics that matter, then delivering the single source of truth, governance, and decision rhythms that actually change how the company runs. Today, I lead a 20-person international data org at Lantern, where in under two years we’ve increased data availability 300%, cut data turnaround time 80%, reduced data operating costs 60%, and driven analytics transformation through Databricks lakehouse, dbt, and a cross-functional Analytics CoE. Previously, I’ve owned enterprise analytics strategy and advanced analytics enablement at HealthEquity, and built large-scale journey analytics and enterprise enablement programs at Charles Schwab/TD Ameritrade, including a 1B+ events/day journey visualization platform recognized with awards and a patent. I care about building “the machine,” not one-off dashboards: trusted definitions, high-quality pipelines with SLAs, reusable data products, and self-serve analytics that leaders can rely on. I also lean into pragmatic AI enablement; automation, decision intelligence, and experimentation, where it improves velocity and reduces operational burden. If you’re looking for a data leader who can modernize the stack, professionalize governance, and tie analytics directly to measurable business outcomes, I’d love to connect.
United States
North Richland Hills
Financial Services
AI Enablement, Enterprise Data Strategy, Analytics Self-Service, Data Warehousing, Data Governance, Artificial Intelligence (AI), Business Value, Reporting Requirements, User Requirements, Presentations, Go-to-Market Strategy, Data Modeling, SQL, Data and Analytics Strategy, Machine Learning and Data Science, Financial Services Analytics, Omni-channel Analytics, Problem Solving, Customer Journey Analytics, Data Architecture
Experience

Head of Data
Spearheaded the transformation and modernization of the data organization and full data and analytics ecosystem, exponentially improving data availability and reliability, while driving increased analyst capabilities and efficiency. • Migrated to a Databricks cloud data warehouse, achieving a 300% increase in data availability and 80% reduction in turnaround time, while decreasing data operating costs by 60%. • Built a Data and Analytics Center of Excellence, scaling and aligning analytics capabilities for 50 analysts across 8 business units, resulting in 5x user adoption and 20x query volume, and a 60% reduction in legacy tool utilization. • Established robust data governance and quality, implementing 1200 data tests and monitoring for 50 pipelines, achieving 95%+ critical-data quality and 99% pipeline SLA. • Integrated AI into key workstreams, leveraging AI-driven tools to improve testing and documentation. This resulted in a 30% increase in release velocity with < 1% error rate. • Transformed customer reporting by developing a config-driven reporting engine, reducing custom reporting requests by 75% and improving the quality and consistency of reports.
Ken Angel's Contact Information
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