Build and deploy predictive, statistical, machine-learning, and forecasting models for financial behavior, personalization, fraud detection, and transaction intelligence. Own the complete model lifecycle, including feature engineering, experimentation, causal inference, deployment, monitoring, drift detection, and retraining. Apply generative AI, LLMs, RAG, and agentic workflows to financial data. Partner with engineering and product teams while communicating insights to technical and executive stakeholders.

Build and operate an observability control plane: automate Datadog/Terraform monitors and dashboards, run audits and maturity assessments, own monthly observability health reports, reduce alert fatigue, enable self-serve onboarding, rotate on shared on-call as Incident Commander, and close detection gaps after incidents.

Design, build, secure, and operate cloud foundations (primarily AWS, with GCP support). Develop IaC (Terraform) modules, CI/CD pipelines, guardrails, and automated policy enforcement. Contribute to architecture, incident triage, audit readiness (SOC 2/PCI), and collaborate across platform, SRE, security, network, and application teams to ensure secure, reliable, and compliant cloud platform capabilities.