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Director Data Jobs in Hawaii (NOW HIRING)

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

... supervision / direct tasking. Work Environment: * Location: Onsite; Honolulu, HI * Travel ... Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate ...

Demand.com

Marketing Director (Remote)

Honolulu, HI · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... We're looking for a Marketing Director to build and scale our marketing function. This is a hands ...

Cymertek

Cloud Big Data Software Engineer

Honolulu, HI · On-site

$55 - $73/hr

Cloud Big Data Software Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Booz Allen Hamilton

Agentic AI and Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

... goal-directed autonomy with guardrails, observability, and human oversight, including planning ... Develop data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous ...

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Showing results 21-40

All JobsData JobsDirector Data JobsDirector Data Jobs in Hawaii

Director Data information

See Hawaii salary details

$54K

$133.5K

$207.8K

How much do director data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data in Hawaii is $133,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $169,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

What are the most commonly searched types of Data jobs in Hawaii?

The most popular types of Data jobs in Hawaii are:

What are popular job titles related to Director Data jobs in Hawaii?

For Director Data jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Director Data jobs in Hawaii look for?

The top searched job categories for Director Data jobs in Hawaii are:

What cities in Hawaii are hiring for Director Data jobs?

Cities in Hawaii with the most Director Data job openings:

Director Data jobs near you
Infographic showing various Director Data job openings in Hawaii as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,533 per year, or $64.2 per hour.

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • Hybrid

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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