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Ai Program Jobs in Hawaii (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

$86K - $198K/yr

Knowledge of defense industry partners, Program Executive Offices (PEOs), or military research ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Ai Program information

What is an AI program?

AI programs are software applications designed to simulate human intelligence processes such as learning, reasoning, problem-solving, and decision-making. They use algorithms, data, and computational power to perform tasks that typically require human intelligence, including language understanding, image recognition, and decision automation. AI programs can be found in various industries, powering technologies like virtual assistants, recommendation systems, and automated customer service. Their capabilities are continually evolving as advancements in machine learning and data processing occur.

What are some typical challenges faced by professionals working in AI program management, and how can they overcome them?

Professionals in AI program management often face challenges such as ensuring effective communication between technical and non-technical stakeholders, managing rapidly evolving project requirements, and staying updated with the latest advancements in AI technologies. To overcome these hurdles, successful AI program managers focus on fostering collaborative team environments, maintaining flexible project plans, and continuously investing in professional development. Regularly aligning goals with stakeholders and encouraging cross-functional learning are also key strategies for managing complexity and driving project success.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need a solid background in computer science, project management, and a strong understanding of artificial intelligence concepts, often supported by a relevant degree and certifications like PMP or Agile. Familiarity with technical tools such as JIRA, Python, machine learning frameworks, and cloud platforms is typically required. Outstanding communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These abilities are essential for successfully delivering AI projects that meet organizational goals and adapt to rapidly evolving technologies.

What is the difference between Ai Program vs Data Scientist?

AspectAi ProgramData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and project-basedBusiness, finance, healthcare sectors; analytical and research-focused
Employer & Industry UsageDeveloping AI models, algorithms, and applicationsAnalyzing data, building predictive models, deriving insights

While both roles require knowledge of machine learning and programming, Ai Programs focus on developing AI systems and algorithms, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within tech and data-driven industries.

What careers can I get in AI?

Careers in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, often supported by relevant certifications or advanced degrees.

What job categories do people searching Ai Program jobs in Hawaii look for?

The top searched job categories for Ai Program jobs in Hawaii are:

What cities in Hawaii are hiring for Ai Program jobs?

Cities in Hawaii with the most Ai Program job openings:

Ai Program jobs near you
Infographic showing various Ai Program job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • On-site

Full-time

Posted 25 days ago

Job description

  1. Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
    • Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
    • Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
    • Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
    • Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
    • Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
    • Manage vendor and partner relationships supporting AI, data, and automation capabilities.
    • Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
  2. Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
    • Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
    • Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
  3. Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
  4. Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
  5. Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
  6. Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
  7. Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.
  8. Performs all other miscellaneous responsibilities and duties as assigned or directed.

#LI-Hybrid
  1. Bachelor's degree in Information Technology, Computer Science, Data Science, Engineering, or equivalent combination of education and experience.
  2. Ten years of progressive leadership experience in IT, data, analytics, AI/Automation, or digital technology functions.
  3. Experience establishing or leading data governance, AI/Automation governance, model risk management, or technology governance programs.
  4. Experience leading software development, AI/ML, data engineering, or automation teams in an enterprise environment.
  5. Strong knowledge of data management practices including data quality, metadata, lineage, stewardship, master data, and information lifecycle controls.
  6. Strong understanding of AI and automation concepts, including model lifecycle management, responsible AI principles, process automation, and operational controls.
  7. Demonstrated ability to translate technical, regulatory, and risk requirements into practical operating models, standards, and execution plans.
  8. Experience working across legal, compliance, audit, security, privacy, and business functions in highly regulated or risk-sensitive environments.
  9. Strong communication, executive presentation, stakeholder management, and organizational leadership skills.
  10. Intermediate knowledge of Microsoft Office applications, including but not limited to, Word, Excel, PowerPoint, and Outlook.

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