08/12/2026 updated
100 % available
Senior Technical Product Manager - Healthcare AI & Interoperability
Cairo, Egypt
Only remote
Bachelor of Science in Biomedical EngineeringAbout me
Elite Technical Product Manager and Biomedical Engineer with 6+ years of expertise architecting healthcare ,intelligence layers, (CDSS), and enterprise EHR/EMR platforms ,global deployments. Proven track record leading high-ambiguity product initiatives, bridging complex deep learning
AI AgentsMLOpsHealth InformaticsClinical Data ManagementHealth Information ManagementHealth Information TechnologyMedical SoftwareInteroperabilityMachine LearningPatient Management SoftwareProduct ManagementSQL DatabasesFast Healthcare Interoperability ResourcesDeep Learning
FHIR R4 & HL7 Interoperability
Architecting and deploying production-grade FHIR R4 interoperability layers across enterprise EMR/EHR systems, including HL7 messaging protocols, API governance, and shared services optimization across complex global deployments.
Clinical AI & Advanced Analytics
Engineering automated SQL verification systems on structured EHR data for patient cohort construction and machine learning model validation, combined with clinical workflow automation and AI-assisted rapid prototyping using tools such as Cursor, Claude Code, and Lovable.
Medical Regulatory & Quality Management
Deep expertise in IEC 62304 (Medical Device Software Lifecycle), ISO 14971 (Risk Management), ISO 13485, ISO 9001, IMDRF Risk Categorization, FDA SaMD Guidelines, HIPAA, GDPR, and EU AI Act, enforcing software validation gates and configuration baselines across distributed development teams.
Product Governance & Delivery
0-to-1 product strategy, requirements synthesis via PRDs, user stories and acceptance criteria, backlog refinement, cross-domain sprint sequencing, UAT, and live risk registers for multi-tenant SaaS healthcare products.
Data Pipeline Architecture
Designing and managing multi-tenant data pipelines, structured EHR data processing, and SQL analytics for large-scale clinical facilities ranging from 200 to 500 beds.
Deep Learning & Machine Learning
Applying deep learning pipelines and machine learning model validation within healthcare contexts, including specializations in deep learning for healthcare, AI for medicine, and GAN AI development.
Cloud & Infrastructure
Cloud technology consulting with AWS certification, supporting scalable deployment of health-tech platforms and infrastructure benchmarking for third-party AI tools.
Python Scripting & SQL Analytics
Utilizing Python scripting and advanced SQL analytics to analyze clinical care-pathway bottlenecks, validate patient cohorts, and reduce AI model specification rework.
SaaS Platform Scaling & Full-Stack Product Ownership
Co-founding and scaling data-driven digital health platforms from concept to live institutional deployments, bootstrapping recurring revenue streams through unified product strategy and B2B client management.
Cybersecurity in Healthcare
Cybersecurity in Healthcare Specialization from ISC2, supporting secure design and governance of clinical software systems in compliance with HIPAA and GDPR.
Architecting and deploying production-grade FHIR R4 interoperability layers across enterprise EMR/EHR systems, including HL7 messaging protocols, API governance, and shared services optimization across complex global deployments.
Clinical AI & Advanced Analytics
Engineering automated SQL verification systems on structured EHR data for patient cohort construction and machine learning model validation, combined with clinical workflow automation and AI-assisted rapid prototyping using tools such as Cursor, Claude Code, and Lovable.
Medical Regulatory & Quality Management
Deep expertise in IEC 62304 (Medical Device Software Lifecycle), ISO 14971 (Risk Management), ISO 13485, ISO 9001, IMDRF Risk Categorization, FDA SaMD Guidelines, HIPAA, GDPR, and EU AI Act, enforcing software validation gates and configuration baselines across distributed development teams.
Product Governance & Delivery
0-to-1 product strategy, requirements synthesis via PRDs, user stories and acceptance criteria, backlog refinement, cross-domain sprint sequencing, UAT, and live risk registers for multi-tenant SaaS healthcare products.
Data Pipeline Architecture
Designing and managing multi-tenant data pipelines, structured EHR data processing, and SQL analytics for large-scale clinical facilities ranging from 200 to 500 beds.
Deep Learning & Machine Learning
Applying deep learning pipelines and machine learning model validation within healthcare contexts, including specializations in deep learning for healthcare, AI for medicine, and GAN AI development.
Cloud & Infrastructure
Cloud technology consulting with AWS certification, supporting scalable deployment of health-tech platforms and infrastructure benchmarking for third-party AI tools.
Python Scripting & SQL Analytics
Utilizing Python scripting and advanced SQL analytics to analyze clinical care-pathway bottlenecks, validate patient cohorts, and reduce AI model specification rework.
SaaS Platform Scaling & Full-Stack Product Ownership
Co-founding and scaling data-driven digital health platforms from concept to live institutional deployments, bootstrapping recurring revenue streams through unified product strategy and B2B client management.
Cybersecurity in Healthcare
Cybersecurity in Healthcare Specialization from ISC2, supporting secure design and governance of clinical software systems in compliance with HIPAA and GDPR.
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
ArabicNative speakerEnglishNative speaker
Project history
Spearheaded full-lifecycle platform architecture rewrites, guiding vague operational requirements into structured PRDs, UAT, deployment, and change management. Realized 40,000 GBP in annualized cost savings (80% overhead reduction) by eliminating legacy technical debt and automating fragmented workflows. Accelerated ecosystem adoption across distributed user groups 3x faster than organizational benchmarks by deploying agile feedback loops.
Architected and deployed production-grade FHIR R4 interoperability layers across 3+ live enterprise EMR systems. Maintained 100% on-time delivery across 10+ concurrent global health-tech and AI initiatives. Engineered automated SQL verification systems on structured EHR data, reducing AI model specification rework by 60%. Analyzed critical care-pathway bottlenecks achieving a 94% reduction in patient wait times. Enforced software validation gates conforming to IEC 62304 and ISO 13485. Designed active risk registers under ISO 14971 methodology, intercepting 7 near-miss production anomalies and safeguarding over $200K in delivery commitments.
Co-founded and scaled data-driven digital health platforms from concept to 5+ live institutional deployments in 36 months. Bootstrapped early recurring revenue streams by unifying product strategy, engineering alignment, multi-tenant data pipelines, and B2B client management.