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Remote Master Data Management Jobs in Phoenix, AZ

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Master Data Management * Enterprise data security Demonstrated expertise is required across ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA ...

New

Scrum Master II (Remote)

Phoenix, AZ · On-site +1

$49.25 - $65.75/hr

This position supports the management of product and software development teams as a leader ... Scrum Master Certification Required Preferred Qualifications: * Experience with Jira, Confluence ...

Scrum Master II (Remote)

Phoenix, AZ · On-site +1

$49.25 - $65.75/hr

This position supports the management of product and software development teams as a leader ... Scrum Master Certification Required Preferred Qualifications: * Experience with Jira, Confluence ...

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Remote Master Data Management information

See Phoenix, AZ salary details

$19

$44

$76

How much do remote master data management jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote master data management in Phoenix, AZ is $44.04, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $54.90 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote master data management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

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

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What is a remote master data management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

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

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

What are the most commonly searched types of Master Data Management jobs in Phoenix, AZ? The most popular types of Master Data Management jobs in Phoenix, AZ are:
What are popular job titles related to Remote Master Data Management jobs in Phoenix, AZ? For Remote Master Data Management jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Master Data Management jobs in Phoenix, AZ look for? The top searched job categories for Remote Master Data Management jobs in Phoenix, AZ are:
Infographic showing various Remote Master Data Management job openings in Phoenix, AZ as of August 2026, with employment types broken down into 76% Full Time, 11% Part Time, 8% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,593 per year, or $44 per hour.

Enterprise Data Management Architect 3649590

Axiom Path

Phoenix, AZ • Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

Be Part Of A High-Performing Team

Join a growing national organization delivering infrastructure, technology, energy, and commercial building solutions across a network of specialized operating companies. The organization combines local operating expertise with enterprise-wide technology and business transformation initiatives, creating an environment centered on collaboration, service, integrity, and sustainable growth. This corporate-level position will play an influential role in strengthening how data is governed, connected, and utilized across a complex multi-entity environment.

What's In Store For You

  • Fully remote opportunity with occasional travel for workshops, stakeholder meetings, or project support.
  • Senior individual contributor position with significant strategic and technical influence across technology, finance, operations, analytics, and integration teams.
  • Opportunity to establish enterprise-wide data architecture standards and shape the organization's long-term data strategy.
  • Exposure to major business and technology transformation initiatives spanning multiple operating companies and enterprise platforms.
  • Comprehensive health, dental, and vision benefits, along with retirement savings and paid time off programs.
  • Professional development through hands-on learning, mentorship, and advancement opportunities across a nationwide organization.

How You Will Make An Impact

  • Define and evolve the enterprise data architecture and long-term data strategy supporting a complex multi-company environment.
  • Establish scalable approaches for how enterprise data is modeled, governed, integrated, stored, and consumed across business systems.
  • Design and govern conceptual, logical, and physical data models, enterprise data flows, standards, and architectural patterns.
  • Create data governance frameworks covering data ownership, quality, metadata, master data, and enterprise standards.
  • Define reference architectures for data integration, cloud data platforms, data lakes and warehouses, semantic layers, and analytics environments.
  • Partner with analytics, integration, finance, operations, and business stakeholders to ensure trusted data supports operational reporting, financial reporting, and advanced analytics.
  • Provide architecture leadership for enterprise transformation initiatives involving system implementations, migrations, and modernization.
  • Assess current data environments, identify architectural gaps and technical debt, and create actionable future-state roadmaps.
  • Guide technology and vendor teams in selecting and implementing scalable data platforms, integration approaches, and supporting tools.
  • Establish sustainable architecture documentation, data dictionaries, standards, and reusable knowledge assets.
  • Expand the organization's ability to use self-service analytics and trusted enterprise data products.
  • Serve as a senior technical advisor for complex data architecture, governance, integration, and analytics challenges.

Do You Have the Expertise to Lead in Enterprise Data Architecture and Governance?

  • 8+ years of progressive experience across enterprise data architecture, data management, data engineering architecture, or closely related disciplines.
  • Demonstrated hands-on architecture and implementation experience, rather than experience limited to strategy or oversight.
  • Advanced understanding of conceptual, logical, and physical data modeling.
  • Strong enterprise data governance experience, including data quality, data ownership, metadata management, and master data management.
  • Proven ability to develop and implement enterprise data strategies supporting reporting, analytics, and operational business processes.
  • Experience designing modern data ecosystems involving data warehouses, data lakes, cloud data platforms, ETL/ELT pipelines, integration patterns, and semantic/reporting layers.
  • Experience navigating complex multi-system or multi-entity technology environments.
  • Strong understanding of integration architecture and enterprise applications such as ERP, project management, financial, or field-service platforms.
  • Ability to translate sophisticated data architecture concepts into clear recommendations for both technical and non-technical stakeholders.
  • Demonstrated ability to influence cross-functional teams and drive adoption of enterprise standards without direct supervisory authority.
  • Strong documentation, analytical thinking, communication, and stakeholder-management skills.
  • Ability to balance immediate business requirements with long-term architectural scalability and governance.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline preferred; equivalent professional experience considered.
  • Experience with Azure, AWS, or GCP data architectures is preferred.
  • Exposure to Power BI, Tableau, or comparable analytics platforms is preferred.
  • Experience within construction, mechanical services, facilities management, or another multi-entity/project-based organization is advantageous.
  • Familiarity with platforms such as Sage Intacct, Procore, BuildOps, or comparable enterprise applications is highly valuable.
  • Relevant data architecture, data management, or cloud certifications are beneficial.