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Remote Master Data Management Jobs in Arizona (NOW HIRING)

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

Design portfolio monitoring, processes, and controls for managing credit risk and identifying root ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Design portfolio monitoring, processes, and controls for managing credit risk and identifying root ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Design portfolio monitoring, processes, and controls for managing credit risk and identifying root ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Collaborate with senior managers and decision makers to identify and solve a variety of problems ...

Arizona Department of Administration

$71K/yr

REMOTE OPTIONS, PHOENIX, TUCSON Categories: Healthcare/Medical Professional Level, Healthcare ... Completes an independent review of data management and other deliverables, technical assistance ...

Pursuit Aerospace

Lead Data Scientist

Prescott, AZ · On-site +1

Remote in the U.S., and travel 10-20%. Responsibilities: * Deliver high-impact analytics: partner ... Master's degree preferred * Proficient in SQL, Python, ML modeling, and time-series analytics ...

CIBC US

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

As a Data Security Consultant, you'll play a key role in shaping and maturing data security ... flexibility to manage your work activities within a remote (if non-local) or hybrid work ...

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Remote Master Data Management information

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 Arizona? The most popular types of Master Data Management jobs in Arizona are:
What are popular job titles related to Remote Master Data Management jobs in Arizona? For Remote Master Data Management jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Master Data Management jobs in Arizona look for? The top searched job categories for Remote Master Data Management jobs in Arizona are:
What cities in Arizona are hiring for Remote Master Data Management jobs? Cities in Arizona with the most Remote Master Data Management job openings:
Remote Master Data Management jobs near you
Infographic showing various Remote Master Data Management job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 12 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.