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Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.

Leads the strategy, roadmap, and execution of Prolaio’s cloud-native platform engineering capabilities across GCP environments. Owns observability, infrastructure tooling, access controls, data lifecycle management, platform services, automation, governance, and AI-enabled features. Partners with engineering, data, security, quality, product, and clinical teams to deliver secure, compliant, auditable healthcare data platforms. Builds and mentors a high-performing platform engineering organization supporting clinical research, analytics, data science, and enterprise data services.

Leads overnight customer success and technical support operations for clinical projects. Provides escalations, mentoring, ticket auditing, SLA and quality monitoring, process improvements, and cross-functional coordination. Handles participant and clinician support, device and platform troubleshooting, compliance alerts, data collection, inventory orders, and ticket resolution. Also performs clinical research coordination activities, including virtual visits, data entry, query resolution, training, participant recruitment, and communication with clinical and sponsor teams.

Provides front-line customer success and technical support to patients, clinicians, and clinical study participants. Responsibilities include resolving hardware, software, and platform issues; managing support tickets, calls, and emails; reviewing compliance alerts and data quality; processing customer orders; and escalating issues as needed. The role also supports clinical research coordination through virtual study visits, protocol procedures, data entry, query resolution, participant recruitment and retention, and collaboration with clinical research stakeholders.

Develop and optimize cloud-based data lakes and pipelines supporting analytics and machine learning. Build automated workflows using Python, SQL, Dagster, dbt, and comparable tools; transform raw data for reporting; and maintain secure, compliant handling of PII and PHI in a regulated SDLC. Collaborate with data scientists, product teams, and engineers to solve technical challenges and improve the data platform.

Leads enterprise information security and cloud operations for an AI-driven healthcare platform. Owns cybersecurity strategy, continuous compliance, cloud infrastructure, threat management, identity and access, data protection, incident response, AI security, vendor risk, and regulatory readiness across HITRUST, ISO 27001, ISO 42001, HIPAA, FDA, and GxP requirements.

The Lead Software Quality Engineering, Backend will oversee validation of a cloud-based data platform, lead a team of engineers, and contribute to automation and verification strategies for healthcare technologies.