Lead enterprise customer support & managed services globally. Build programs for SaaS and mission-critical workloads. Oversee large-scale change management and customer satisfaction. Ensure high quality in service/technical escalation.

Lead enterprise-scale software development for data integrations. Build testing, measurement, and performance frameworks for AI-driven industrial products. Oversee high-velocity tech teams and product releases. Drive strategy and delivery excellence.

Build and optimize LLM/GenAI models for industrial AI. Apply NLP, ML & advanced Python frameworks. Enhance inference performance and contextual handling. Collaborate on applied research into scalable AI solutions.

Maintain production-grade data pipelines and workflows. Provide customer-facing troubleshooting on REST APIs & GCP. Ensure uptime, monitoring, and support operations. Collaborate with technical teams for incident resolution.

Develop financial dashboards and reporting automation. Analyze business performance, budgeting, and forecasting. Deliver insights for planning and decision-making. Use ERP, BI tools, and analytics to improve financial operations.

Conduct SaaS performance testing and optimization. Build architecture insights for scalability. Use PostgreSQL/system monitoring for improvements. Collaborate with QA/engineering teams to ensure robust application performance.

Manage engineering teams with focus on SaaS workflows. Handle compliance, SIDE, and technical delivery governance. Drive team performance across multiple projects. Collaborate with senior leadership for tech management outcomes.