Manage IT infrastructure, automation, and incident troubleshooting. Support IT ops for SaaS/industrial deployments, including change control. Use Jira, coding scripts, and monitoring for efficiency. Collaborate with cross-teams for smooth delivery.

Lead data engineering teams in delivery & standardization of practices. Oversee staffing, project delivery, and digital transformation efforts. Drive employee engagement and long-term talent growth. Partner with business leaders to align engineering outcomes.

Design and implement scalable ETL pipelines using Cognite Data Fusion. Deliver robust data models and architectures. Collaborate with product and engineering teams to optimize workflows. Use Git, GCP, and modern data frameworks for reliability.

Develop and deploy multi-agent systems using frameworks like LangChain. Work across front-end and back-end (JS, SQLite) with ML integration. Optimize systems through performance tuning and resource management. Collaborate with AI teams for production-ready solutions.

Manage customer journeys and support escalation processes. Enhance service experiences leveraging analytics and feedback. Coordinate with program managers, SEO, and product specialists. Drive long-term engagement and satisfaction.

Define and manage product roadmap from strategy to delivery. Prioritize features based on business goals and UX needs. Collaborate across tech and business teams. Apply AI/ML understanding to product development.

Oversee health insurance operations and program execution. Manage contact centers, SLA adherence, and compliance workflows. Lead process improvement initiatives. Drive efficiency through team and stakeholder management.