Sports Intelligence
High-Performance Sports Betting Platform
Real-time sports intelligence with live odds, predictive insights, and performance data
Re-engineered architecture decoupling live API dependencies, unifying identity across platforms, and enabling warehouse-first lifecycle activation.
It All Started When...
The platform was growing quickly -- but the foundation wasn't built to support it.
Underneath the surface, a Drupal-based backend, exposed API keys, and tightly coupled live data integrations created instability that surfaced as frequent crashes and unreliable analytics. User behavior was fragmented across systems, making lifecycle tracking and experimentation nearly impossible.
What looked like a feature problem was actually an architectural one. The solution required more than iteration -- it required rebuilding the system from the ground up.
Jaclyn's Role
Led a full-scale platform transformation spanning product strategy, system architecture, and engineering operations.
Led cross-functional delivery across engineering, data, and design teams, coordinating distributed contributors through structured roadmap sequencing and dependency management.
Directed a backend migration from a fragile Drupal implementation to a modular Node.js + MongoDB architecture, restructuring the codebase for security, scalability, and maintainability.
Redesigned the core product experience and rebranded the platform to clarify value, streamline real-time data access, and align primary engagement surfaces with monetization and lifecycle triggers.
Re-architected API integrations so external data was persisted and validated in the database rather than consumed directly at runtime, preventing cascading failures when upstream services degraded.
Implemented new third-party API and SDK integrations across web and mobile while introducing secure server-side key management and standardized instrumentation.
Professionalized engineering workflows by establishing structured version control standards and CI/CD pipelines to improve deployment reliability and reduce operational risk.
Designed and implemented a warehouse-first Customer Data Platform (CDP) using BigQuery and RudderStack to unify behavioral, transactional, and marketing data into identity-resolved user profiles.
Established lifecycle tracking from acquisition through retention and enabled activation of high-value segments back into advertising and marketing platforms.
Embedded experimentation and ML-ready data pipelines directly into the foundation of the rebuilt system.
Results
Eliminated recurring application crashes through decoupled data architecture and persisted data flows
Delivered a 4x+ increase in paid conversion following full platform re-architecture and unified customer data implementation
Retention improved by 15% through structured experimentation and unified customer profiling
Supported sustained 75-85% year-over-year revenue growth across two consecutive years
Established a secure, modular platform foundation capable of supporting real-time data workloads and predictive modeling at scale
Interested in working together?
Get in touch