• Analyze network performance across client and contractor journeys to identify trends, risks, and improvement opportunities • Monitor data flows and connectivity between internal systems • Proactively identify and escalate operational gaps and bottlenecks before they escalate and our teams and customers • Develop AI-driven insights, anomaly detection models, and predictive performance indicators • Automate recurring operational workflows to reduce manual intervention and increase consistency • Lead rollout and continued enablement for new productivity and AI tools • Train teams on how and when to use tools to drive real efficiency and quality gains • Reinforce best practices to ensure consistent and sustained adoption • Build scalable reporting frameworks aligned to evolving business needs • Ensure data handling adheres to governance, compliance, and security standards • Document processes, automation logic, and system dependencies clearly • Partner cross-functionally with Product, Engineering, and Operations to improve system reliability • Continuously identify opportunities to streamline workflows and improve operational scalability • Increased utilization and effectiveness of AI-enabled workflows • Reduced variability in execution across Operations and Intelligence teams • Reduction in manual operational tasks through automation • Increased use of AI-driven insights in operational decision-making • Clear, actionable intelligence delivered to leadership • Faster, more consistent adoption of new processes and tools