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Director Data Management Jobs in Hawaii (NOW HIRING)

Cymertek

Big Data Architect

Honolulu, HI · On-site

$63 - $81/hr

Expertise in multi-cloud data management * Hands-on experience with BI integration PLUG IN to ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek Corporation

Big Data Architect

Honolulu, HI · On-site

$120 - $180/hr

Expertise in multi-cloud data management * Hands‑on experience with BI integration PLUG IN to ... With direct access to company leadership, a laid‑back and inclusive atmosphere, and exceptional ...

New

Nbutexas

Director of Risk Management and Safety

Honolulu, HI · On-site

$140 - $200/hr

Director of Risk Management and Safety Benefits & Compensation * Competitive base salary with bonus ... data analysis and reporting. * Collaborate closely with Operations, HR, Legal, and Finance to align ...

Cymertek Corporation

Data Modeler

Honolulu, HI · On-site

$90 - $120/hr

Experience in database design and management * Proficiency in data normalization and ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

Experience in database design and management * Proficiency in data normalization and ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

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All JobsData Management JobsDirector Data Management JobsDirector Data Management Jobs in Hawaii

Director Data Management information

See Hawaii salary details

$56.1K

$160.9K

$253.5K

How much do director data management jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data management in Hawaii is $160,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $196,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Management vs Data Analyst?

AspectDirector Data ManagementData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often with leadership experienceBachelor's in Statistics, Data Science, or related field; often entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing data teams, managing data governanceData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageUsed in large corporations, tech, finance, healthcareCommon across industries for data-driven roles

The main difference is that a Director Data Management focuses on strategic oversight, data governance, and leading data teams, while a Data Analyst primarily handles data analysis, reporting, and supporting business decisions. The Director role involves higher-level management and planning, whereas Data Analysts execute specific data tasks.

More about Director Data Management jobs

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

The most popular types of Data Management jobs in Hawaii are:

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

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

Director Data Management jobs near you

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • Hybrid

Full-time

Posted 22 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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