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Master Data Management Manager Jobs in Hawaii (NOW HIRING)

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment * Master's degree in quantitative field (Statistics, Data Science, Operations ...

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$140 - $210/hr

Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment * Master's degree in quantitative field (Statistics, Data Science, Operations ...

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$119K/yr

Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment * Master's degree in quantitative field (Statistics, Data Science, Operations ...

AlohaCare

Case Management Manager

Honolulu, HI · On-site

$81 - $110/hr

Employees have access to AlohaCare data based on the data classification assigned to this job title ... Master's degree in social work, Health Care Administration, Long Term Services and Supports, Public ...

Amentum

As the Knowledge Manager you will provide the qualitative context, taxonomies, and distribution ... Master's degree from an accredited college or university. * 10+ years experience in data science ...

Cymertek

Big Data Architect

Honolulu, HI · On-site

$63 - $81/hr

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find ... Expertise in multi-cloud data management * Hands-on experience with BI integration PLUG IN to ...

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Master Data Management Manager information

See Hawaii salary details

$32.2K

$100.9K

$178.7K

How much do master data management manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for master data management manager in Hawaii is $100,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a master data management manager?

A Master Data Management (MDM) Manager is a professional responsible for overseeing the processes and systems that ensure an organization's core business data—such as customer, product, or supplier information—is accurate, consistent, and accessible across the company. They lead teams that develop and enforce data governance policies, implement MDM technologies, and coordinate with various departments to maintain data quality. MDM Managers play a critical role in optimizing business operations, supporting analytics, and ensuring regulatory compliance by managing the organization's master data assets.

How does a master data management manager typically collaborate with IT and business stakeholders to ensure data integrity?

A Master Data Management (MDM) Manager plays a pivotal role in bridging the gap between IT teams and business units. They regularly facilitate workshops and meetings to understand business requirements, then translate these into data governance policies and technical specifications for IT implementation. The MDM Manager also monitors data quality, oversees data integration processes, and ensures that all stakeholders adhere to established data standards. Effective communication and cross-functional collaboration are essential to maintain high data integrity and support organizational goals.

What are the key skills and qualifications needed to thrive as a master data management manager, and why are they important?

To thrive as a Master Data Management Manager, you need expertise in data governance, data quality management, and a strong understanding of master data principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with MDM platforms (like Informatica, SAP, or Oracle), data integration tools, and relevant certifications such as CDMP is highly beneficial. Strong leadership, project management, and stakeholder communication skills help drive cross-functional data initiatives and resolve complex data issues. These skills are crucial to ensuring data consistency, compliance, and strategic value across the organization.

What is the difference between Master Data Management Manager vs Data Analyst?

AspectMaster Data Management ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; often certifications in data analysis tools
Work EnvironmentTypically in data management teams, IT departments, or data governance unitsOften in business units, marketing, finance, or operations teams
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and retailCommon across various industries for data-driven decision making

The Master Data Management Manager focuses on overseeing the quality, consistency, and governance of core business data, ensuring data accuracy across systems. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require strong data skills, the MDM Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data management manager make?

A Master Data Management Manager typically earns between $90,000 and $140,000 annually, depending on experience, location, and industry. Salaries can increase with certifications in data management tools and leadership skills, and some roles may include bonuses or benefits.

Is master data management still a thing?

Master Data Management (MDM) remains a vital function for organizations to ensure data consistency, accuracy, and integrity across systems. MDM managers oversee data governance, utilize tools like Informatica or Collibra, and often require certifications such as CDMP to succeed in the role.

What is the average salary of a master data management manager?

The average salary of a master data management manager typically ranges from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with certifications in data management tools and strong leadership skills tend to earn higher salaries.

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

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

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

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

What cities in Hawaii are hiring for Master Data Management Manager jobs?

Cities in Hawaii with the most Master Data Management Manager job openings:

Master Data Management Manager jobs near you
Infographic showing various Master Data Management Manager job openings in Hawaii as of June 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,929 per year, or $48.5 per hour.

Data Scientist - Journeyman

BigBear.ai

Honolulu, HI • On-site

Other

Posted 10 days ago

Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.
You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted "single source of truth" repositories in accordance with strict security and classification protocols.
What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive-level data storytelling via visualizations/dashboards

What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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