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Master Data Management Manager Jobs in Ridgecrest, CA

Essc

ABA Program Manager

California City, CA · On-site

$70K/yr

Maintains data reliability and fidelity checks regularly. Plans and leads monthly progress updates ... Master's degree from an accredited college or university with a concentration in early childhood ...

USM

Senior C++ Developer

California City, CA

... Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture ...

Nexla

Product Manager, Bay Area

California City, CA

... Management, Solutions Engineering, or related technical SaaS roles. * Strong technical fluency experience operating in product environments involving APIs, integrations, distributed systems, data ...

Nexla

Product Manager, Bay Area

California City, CA · On-site

... Management, Solutions Engineering, or related technical SaaS roles. • Strong technical fluency experience operating in product environments involving APIs, integrations, distributed systems, data ...

MLabs

Talent Operator

California City, CA · Hybrid

$120K - $200K/yr

Systems and Data Management: Maintain full ownership of the CRM/ATS, ensuring data integrity, precise tracking of candidate interactions, and timely follow-ups. * Operational Execution: Direct the ...

Walmart

Overnight Stocking Manager

Ridgecrest, CA · On-site

$71K - $100K/yr

... data insights and analysis balances short and longterm priorities and considers our customers ... Bachelor of Science in Business Management and Leadership through Live Better U and Bellevue ...

OpsFi

Product Manager (US-Based)

California City, CA · On-site

... management tools (Jira, Confluence), and defining technical feature specifications. * Core Competencies : Good grasp of web platform architecture, API integrations, and data-driven software tools.

New

OpsFi

Product Manager (US-Based)

California City, CA · On-site

... management tools (Jira, Confluence), and defining technical feature specifications. * Core Competencies : Good grasp of web platform architecture, API integrations, and data-driven software tools.

New

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All JobsMaster Data Management JobsMaster Data Management Manager JobsMaster Data Management Manager Jobs in Ridgecrest, CA

Master Data Management Manager information

See Ridgecrest, CA salary details

$30.8K

$96.5K

$170.8K

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

As of Aug 7, 2026, the average yearly pay for master data management manager in Ridgecrest, CA is $96,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $124,600.00 per year, depending on experience, location, and employer.

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 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.

What is the average salary of master data management manager?

The average salary for 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.

Is Master Data Management a good career?

Master Data Management (MDM) managers oversee the organization and consistency of critical business data, ensuring data quality and integrity across systems. This role typically requires strong analytical skills, knowledge of data governance tools, and certifications such as DAMA-DMBOK. It is considered a stable and growing career path within data management and IT departments.

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.

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 job categories do people searching Master Data Management Manager jobs in Ridgecrest, CA look for? The top searched job categories for Master Data Management Manager jobs in Ridgecrest, CA are:
What cities near Ridgecrest, CA are hiring for Master Data Management Manager jobs? Cities near Ridgecrest, CA with the most Master Data Management Manager job openings:
Master Data Management Manager jobs near you

Associate Director - Data Science

Tiger Analytics Inc.

California City, CA • On-site

$72K - $73K/yr

Full-time

Re-posted 18 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.
Responsibilities:
  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements
  • 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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