Back
Senior (15+ yrs) and niche AI/data healthcare compliance requirements reduce applicant density.
Requires specialized AI, data engineering, and healthcare compliance experience, limiting cross-industry transferability.
Explicit 15+ years, 5+ years leadership, and mandatory hands-on AI/ML and healthcare requirements enforce rigid filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead a team of data engineers and AI specialists to deliver scalable, secure, and compliant data solutions for healthcare SaaS applications.
Drive innovation in AI/ML, data architecture, and analytics to support strategic business outcomes.
Collaborate cross-functionally to integrate intelligent data capabilities, ensuring alignment with healthcare compliance standards (HIPAA, HL7, FHIR).
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
15+ years of experience in software/data engineering, including 5+ years managing cross-functional engineering teams.
Minimum 5 years of hands-on experience in AI/ML and cloud-based data platform development.
Deep knowledge of healthcare compliance and security standards such as HIPAA, HL7, and FHIR.
Experienced leader capable of managing complex AI/data engineering functions in healthcare technology environments.
Strategic thinker skilled in aligning AI/data initiatives with business goals and regulatory requirements.
Proficient in driving technical innovation while maintaining high standards of security, compliance, and team development.