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Remote Data Strategy Jobs in Arizona (NOW HIRING)

Author, review, and enhance strategy reports, market analyses, business cases, executive summaries ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

Contribute to large scale planning of strategies * Design, code, test, debug, and document for ... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ...

... strategy, life sciences research, and provider performance solutions. We sit in the middle of that ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Essential Duties And Responsibilities Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of ...

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Define and execute the AI/ML strategy, prioritizing production use cases that deliver measurable ...

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

You'll contribute to strategic initiatives, guide control maturity efforts, and help create a ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

You'll contribute to strategic initiatives, guide control maturity efforts, and help create a ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

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Remote Data Strategy information

What is the difference between Remote Data Strategy vs Remote Data Analyst?

AspectRemote Data StrategyRemote Data Analyst
Required CredentialsData-related certifications, such as CDMP or CBIP, and strategic planning skillsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentFocus on developing data strategies, policies, and high-level planning remotelyAnalyze data sets, generate reports, and support decision-making remotely
Employer & Industry UsageUsed in organizations to shape data initiatives and policies across departmentsEmployed in various industries to interpret data and provide insights

Remote Data Strategy professionals focus on creating data policies and strategic plans, while Remote Data Analysts interpret data to support business decisions. Both roles often work remotely and require data-related skills, but their core responsibilities differ significantly.

What are the most commonly searched types of Data Strategy jobs in Arizona?

The most popular types of Data Strategy jobs in Arizona are:

What job categories do people searching Remote Data Strategy jobs in Arizona look for?

The top searched job categories for Remote Data Strategy jobs in Arizona are:

Infographic showing various Remote Data Strategy job openings in Arizona as of August 2026, with employment types broken down into 2% Internship, 77% Full Time, 10% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Enterprise Data Management Architect 3649590

Axiom Path

Phoenix, AZ • Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


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.