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Data Ai Manager Jobs in Arizona (NOW HIRING)

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

AI MANAGER Location: Tucson, AZ Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 ... Ensures developed tools meet institutional standards for responsible AI, data privacy ...

Ascend Learning

Director Data & AI

Gilbert, AZ · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage strategic vendor relationships across the data and AI ecosystem (Snowflake, Microsoft, Claude, Azure AI, OpenAI, and others). WHAT YOU'LL NEED * Bachelor's degree in computer science ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Lead Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... management, lineage tracking, and quality validation using tools such as Microsoft Purview or ...

Releady

Data + AI Enablement Senior Director

Phoenix, AZ · On-site

$175 - $200/hr

Advance data governance, stewardship, privacy, and risk management practices across the organization. * Enable responsible use of advanced analytics and AI capabilities built on trusted data ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ

By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate ... Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

Deloitte

Oracle Gen AI Manager

Tempe, AZ · On-site

... Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

  • PTO

Manage data security, privacy, and compliance (HIPAA/PHI; rolebased access, masking, tokenization ... Leverage LLMs/AI tools for data quality, entity resolution, summarization, and clinical insights ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

  • PTO

Manage data security, privacy, and compliance (HIPAA/PHI; role‑based access, masking ... Leverage LLMs/AI tools for data quality, entity resolution, summarization, and clinical insights ...

Teamwass

Creative Product Technologist, Data & AI

Yuma, AZ · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... , first-party, and platform data easier to understand and act on. * Create design-grade UI/UX, ... Stay current on AI, creative technology, performance marketing, and digital-product trends ...

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Showing results 1-20

All JobsData Ai JobsData Ai Manager JobsData Ai Manager Jobs in Arizona

Data Ai Manager information

What is the difference between Data Ai Manager vs Data Analyst?

AspectData Ai ManagerData Analyst
Required CredentialsBachelor's or higher in Data Science, AI, or related fields; certifications in AI/MLBachelor's in Data Science, Statistics, or related fields; often no specialized certifications required
Work EnvironmentLeads AI projects, collaborates with data science and engineering teams, strategic planningAnalyzes data sets, generates reports, supports decision-making
Employer & Industry UsageTech companies, AI-focused firms, large enterprises implementing AI solutionsVarious industries including finance, marketing, healthcare, and retail

The Data Ai Manager oversees AI initiatives, requiring strategic and technical leadership, while the Data Analyst focuses on data interpretation and reporting. Both roles require strong analytical skills, but the manager's role is more strategic and leadership-oriented, often involving AI-specific knowledge.

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

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

What are popular job titles related to Data Ai Manager jobs in Arizona?

For Data Ai Manager jobs in Arizona, the most frequently searched job titles are:

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The top searched job categories for Data Ai Manager jobs in Arizona are:

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Cities in Arizona with the most Data Ai Manager job openings:

Data Ai Manager jobs near you
Infographic showing various Data Ai Manager job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI MANAGER

BTree Solutions, Inc.

Vail, AZ • On-site

Contractor

Re-posted 27 days ago

Job description

Job Title: AI MANAGER
Location: Tucson, AZ
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
This position manages a team of five AI professionals responsible for designing, developing, and deploying AI-powered tools, applications, and capabilities that advance the University's academic, research, and administrative priorities. The manager drives applied AI strategy, identifies high-impact opportunities for AI tool adoption across campus, and ensures delivered solutions are scalable, responsible, and aligned with institutional AI governance standards. The position serves as a key bridge between emerging AI technologies and the practical needs of faculty, staff, students, and campus partners, championing innovation while maintaining rigorous standards for responsible AI implementation.
Job Duties:
AI Tool Development & Application Delivery:
  • Leads the design, development, and deployment of AI-powered tools, applications, and workflows for campus use, with a focus on practical, high-impact solutions that advance University research, teaching, and operational objectives.
  • Manages the full application development lifecycle from requirements gathering and prototyping through testing, deployment, and iteration.
  • Ensures developed tools meet institutional standards for responsible AI, data privacy, accessibility, and security.
  • Directs team members in applying AI/ML techniques, LLM integrations, API development, and software engineering best practices to deliver reliable, scalable campus solutions

Team Leadership & Professional Development:
  • Plans, directs, and evaluates the day-to-day work of a team of five AI professionals, including AI/ML engineers, developers, and applied researchers.
  • Establishes clear performance expectations, provides ongoing coaching and feedback, and conducts formal performance evaluations.
  • Identifies and supports individual development opportunities to build technical depth and innovation capacity across the team.
  • Fosters a collaborative, mission-driven team environment aligned with ORAI's responsible AI values and the University's commitment to inclusive excellence.

Campus AI Innovation & Stakeholder Engagement:
  • Identifies, prioritizes, and advances opportunities to deploy AI tools and capabilities that meet the evolving needs of campus faculty, staff, students, and administrative units.
  • Partners with colleges, departments, and research groups to understand requirements and co-develop applied AI solutions.
  • Communicates AI tool capabilities, limitations, and responsible use guidelines to various campus audiences.
  • Represents AI²S/ORAI in campus working groups, advisory bodies, and innovation initiatives related to applied AI adoption.
  • Research Software Engineering & Technical Infrastructure:
  • Applies research software engineering principles to ensure AI tools and applications are built on robust, maintainable, and interoperable technical foundations.
  • Oversees integration of AI capabilities with existing University platforms, APIs, and research computing infrastructure, including cloud-based AI services (e.g., AWS Bedrock).
  • Ensures documentation, version control, testing protocols, and deployment pipelines meet institutional and software engineering standards.
  • Collaborates with the Cyberinfrastructure & Systems team to align application development with underlying infrastructure capabilities.

AI Governance, Responsible AI Compliance & Reporting:
  • Ensures all AI tools and applications developed by the team adhere to the University's responsible AI framework, data governance policies, and applicable regulatory requirements.
  • Reviews and evaluates AI solutions for bias, fairness, transparency, and alignment with ethical AI principles.
  • Contributes to ORAI AI governance activities, policy development, and institutional reporting on applied AI initiatives.
  • Maintains awareness of emerging AI technologies, regulatory developments, and peer institution practices to inform continuous improvement of the team's approach.

Knowledge, Skills and Abilities:
  • Practical knowledge of AI/ML concepts, techniques, and application development, including large language models (LLMs), generative AI, predictive modeling, and data analysis.
  • Knowledge and understanding of research software engineering principles, software development lifecycles, and technical documentation standards.
  • Knowledge of responsible AI frameworks, data privacy regulations (e.g., FERPA, HIPAA applicability), and institutional AI governance practices.
  • Knowledge and understanding of cloud AI platforms, API ecosystems, and integration patterns for enterprise AI tool deployment.
  • Knowledge and understanding of responsible AI principles, data privacy regulations, and AI governance frameworks.
  • Strong applied AI and software development skills, with demonstrated ability to move from concept to working application.
  • Effective team leadership and people management skills, including performance coaching, goal-setting, and staff development.
  • Ability to provide clear and accessible communication skills, including the ability to explain AI capabilities and limitations to non-technical campus stakeholders.
  • Project management and prioritization skills, with the ability to manage multiple concurrent initiatives in a dynamic environment.
  • Proficiency in AI/ML frameworks and tools (e.g., Python, LangChain, OpenAI/Anthropic APIs, Hugging Face, or equivalent) and software development practices including version control, CI/CD, and API development.
  • Ability to identify high-impact opportunities for AI tool adoption and translate campus needs into practical, responsible AI solutions.
  • Ability to build collaborative relationships across varioius university stakeholders, including faculty, staff, administrators, and technical teams.
  • Ability to stay current with rapidly evolving AI technologies and evaluate their applicability and responsible use in a university context.
  • Ability to cultivate an innovative, and mission-aligned team culture consistent with ORAI's responsible AI values.

Preferred Qualifications:
  • Experience designing, developing, and deploying AI/ML-powered tools or applications in an applied or enterprise environment.
  • Experience managing or leading a technical team, including setting priorities, evaluating performance, and supporting professional development.
  • Experience working with cloud-based AI platforms (e.g., AWS Bedrock, Azure OpenAI, or equivalent) preferred.
  • Experience in a higher education, research, or public sector environment preferred.
  • Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Science, or a related field preferred

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