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Manage and grow referrals for Las Vegas/Henderson ambulatory surgery centers by marketing Azura services to dialysis clinics, nephrologists and physicians. Conduct daily territory calls/onsite visits, build relationships, develop and execute strategic account plans, track market data and maintain CRM. Frequent travel and presentations to clinicians; collaborate with operations and marketing to drive referrals and ensure post-sales satisfaction.

Lead large-scale supply chain transformation programs: develop business cases and roadmaps, design governance, enforce PM best practices, manage cross-functional teams, risks, KPIs and compliance (FDA/GxP). Drive resource allocation, financial analysis, scenario planning, and issue resolution. Mentor staff, supervise teams, and implement tracking for program visibility. Travel required (20–50%).

Lead advanced financial planning and analysis activities, focusing on pricing, profitability, and business case development while mentoring junior team members.

Manage small to medium scale projects by overseeing program delivery, planning, monitoring progress, communicating with stakeholders, and mentoring staff.

Lead Quality Systems Auditor conducting and managing quality system audits, ensuring compliance, and supporting inspection readiness while developing audit processes and managing audit-related issues.

Responsible for leading CAPA processes, supporting validation activities, management of quality systems, audit support, and documentation traceability in a medical device manufacturing environment.

The role involves cash management, preparing various financial documents, handling Philhealth claims, and verifying patient information. Additionally, responsibilities include validating data and addressing discrepancies in claims.

The Data Engineer designs and maintains scalable data platforms across AWS and Azure, supporting analytics and AI use cases, while optimizing data pipelines and ensuring data quality and governance. Collaborates with stakeholders to implement data solutions and CI/CD processes.

Design, build, and maintain scalable data platforms and pipelines across AWS and Azure, supporting analytics, AI/ML, and business intelligence use cases. Collaborate with stakeholders and optimize data solutions for performance and cost.

Design and implement machine learning systems, collaborating with teams to enhance models and ensure performance in production. Manage end-to-end ML pipelines, model retraining, and governance processes.