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Lead and scale a global Quality Engineering organization for CNPF products, defining QE strategy across full-stack and data/ML systems. Drive test automation, shift-left/shift-right practices, AI/agentic product evaluation, release quality gates, root-cause analysis, tooling and vendor decisions, budgeting, and talent development to improve product reliability and customer experience.

Lead data engineering strategy and delivery for CNPF, building lakehouse, streaming, retrieval, vector/feature stores and MCP servers to support agentic AI, LLMs, and analytics. Ensure governance, observability, security, and real-time data access while guiding senior engineers and partnering with Applied AI, Product, and Architecture.

Design, deploy, and operate high-volume, low-latency decisioning systems in public and private clouds. Build CI/CD pipelines, IaC (Terraform/CloudFormation), container orchestration (Kubernetes/Helm), and observability (Prometheus, Grafana, Splunk). Collaborate with global R&D, drive DevOps practices, optimize cost, and lead automation and reliability efforts.

Lead strategy and delivery of the data platform powering analytics and agentic AI across CNPF. Architect lakehouse, streaming, retrieval, vector/feature stores and MCP servers; ensure governance, observability, and PII-safe AI data pipelines; partner with Applied AI, Product, and Security; guide and grow senior data engineering team.

Lead global Quality Engineering for CNPF products, defining QE strategy across full-stack, data/ML, and infrastructure. Build and manage teams, drive test automation, shift-left/right practices, establish AI/data quality frameworks, own release gates, conduct root-cause analyses, manage budgets/vendors, and represent QE externally.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure. Build CI/CD pipelines, champion IaC, drive observability, optimize cost and performance, and collaborate with global R&D to deploy and operate the Decision Management Platform.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure for a real-time decisioning platform. Build CI/CD pipelines, champion IaC, drive observability, cost optimization, troubleshoot distributed systems, and lead DevOps initiatives across global engineering teams.

Lead strategy, architecture, and delivery of CNPF data platform to power analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI and Product, guide senior engineers, and remain hands-on to unblock architecture and production issues.

Design, provision, and manage public and on-prem cloud infrastructure for a high-volume, low-latency decisioning platform. Build CI/CD pipelines, champion Infrastructure-as-Code, drive observability and reliability, collaborate with global R&D teams, optimize cost and performance, and provide hands-on DevOps leadership and automation.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure real-time, secure, and auditable data for LLMs and analytics. Guide senior engineers and partner with AI, product, and security teams.