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Director Healthcare Artificial Intelligence Jobs

OpenAI

Account Director, Healthcare

San Francisco, CA · On-site

$189 - $240/hr

... safe artificial general intelligence (AGI) which benefits all of humanity. This long-term ... About the role As an Account Director focused on Healthcare, you will own executive-level ...

Samsonite

Director, Artificial Intelligence

Mansfield, MA · On-site

$190K - $210K/yr

We are seeking a Director of AI to help shape and accelerate this transformation - a role at the intersection of applied AI, enterprise platform delivery, and global business transformation ...

OneMagnify

Director of Artificial Intelligence

OneMagnify is looking for a Director of Artificial Intelligence to own the strategic direction and execution of AI across the company. This is a senior leadership role that sits at the intersection ...

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Director Healthcare Artificial Intelligence information

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$101K

$147.5K

How much do director healthcare artificial intelligence jobs pay per year?

As of Aug 14, 2026, the average yearly pay for director healthcare artificial intelligence in the United States is $101,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director healthcare artificial intelligence?

To thrive as a Director of Healthcare Artificial Intelligence, you need advanced expertise in AI/ML, data analytics, healthcare operations, and a relevant graduate degree, often in computer science, data science, or a related field. Familiarity with platforms like TensorFlow, PyTorch, healthcare data standards (e.g., HL7, FHIR), and experience with regulatory compliance are crucial, as are certifications such as PMP or CPHIMS. Exceptional leadership, strategic vision, and communication skills help lead multidisciplinary teams and drive innovation. These competencies ensure the effective development and implementation of AI solutions that improve patient outcomes and operational efficiency in a complex healthcare environment.

What is the difference between Director Healthcare Artificial Intelligence vs Data Scientist in Healthcare?

AspectDirector Healthcare Artificial IntelligenceData Scientist in Healthcare
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in AI and healthcareBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/R
Work EnvironmentLeadership role overseeing AI projects, collaborating with executives and medical staffAnalyzing healthcare data, building models, reporting insights, often in research or analytics teams
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsHealthcare providers, biotech firms, research organizations

The main difference is that the Director Healthcare Artificial Intelligence leads AI initiatives and manages teams, focusing on strategic implementation, while Data Scientists in Healthcare analyze data and develop models to support healthcare decisions. Both roles require strong technical skills, but the director position emphasizes leadership and project management.

What does a director healthcare artificial intelligence do?

A Director of Healthcare Artificial Intelligence oversees the development, implementation, and management of AI-driven solutions within healthcare organizations. They lead teams of data scientists, engineers, and healthcare professionals to create technologies that improve patient outcomes, streamline operations, and support clinical decision-making. Their responsibilities also include ensuring compliance with healthcare regulations, managing budgets, and collaborating with stakeholders to align AI projects with organizational goals. This role requires a blend of technical expertise, leadership skills, and a deep understanding of both healthcare and artificial intelligence.

What are some common challenges faced by a director healthcare artificial intelligence when implementing AI solutions in clinical settings?

Directors of Healthcare Artificial Intelligence often encounter challenges such as integrating AI tools with existing electronic health record (EHR) systems, ensuring data privacy and security, and gaining clinician buy-in for new technologies. Navigating regulatory requirements and demonstrating the clinical value of AI solutions to stakeholders can also be complex. Building cross-functional teams that include clinicians, data scientists, and IT professionals is essential for successful implementation and adoption.
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Director Healthcare Artificial Intelligence jobs near you
Infographic showing various Director Healthcare Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 67% Full Time, 15% Part Time, and 15% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $101,008 per year, or $48.6 per hour.

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 8 days ago

Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
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Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.
Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics

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