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Intelligent Systems Jobs in Arizona (NOW HIRING)

* Identify additions or changes to systems, interfaces, functional system behavior, business ... Apply AI, automation, and intelligent business process management principles to identify ...

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Commission and energizes protective relaying systems, telemetry devices, and other intelligent electronic devices through validation of wiring, settings, communication protocols and logic * Uses test ...

Commission and energizes protective relaying systems, telemetry devices, and other intelligent electronic devices through validation of wiring, settings, communication protocols and logic * Uses test ...

Commission and energizes protective relaying systems, telemetry devices, and other intelligent electronic devices through validation of wiring, settings, communication protocols and logic * Uses test ...

SAP MM Business Systems Analyst

Tempe, AZ · Hybrid

$50 - $67/hr

Develops and analyzes system functional requirements in accordance with end to end business ... Applies knowledge of AI, automation, and intelligent business process management principles to ...

New

SAP MM Business Systems Analyst

Tempe, AZ · Hybrid

$50 - $67/hr

Develops and analyzes system functional requirements in accordance with end to end business ... Applies knowledge of AI, automation, and intelligent business process management principles to ...

Showing results 41-60

Intelligent Systems information

See Arizona salary details

$34K

$83.7K

$130.5K

How much do intelligent systems jobs pay per year?

As of Sep 8, 2026, the average yearly pay for intelligent systems in Arizona is $83,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $104,400.00 per year, depending on experience, location, and employer.

What are intelligent systems?

Intelligent systems are advanced computer-based systems that can perceive, reason, learn, and act autonomously or semi-autonomously in complex environments. These systems often use artificial intelligence (AI), machine learning, and data analytics to solve problems, make decisions, and adapt to new information. Examples include self-driving cars, smart home devices, robotics, and speech recognition systems. Intelligent systems are widely used in industries such as healthcare, manufacturing, transportation, and finance to enhance efficiency and innovation.

What are the key skills and qualifications needed to thrive as an intelligent systems engineer, and why are they important?

To thrive as an Intelligent Systems Engineer, you need a solid background in computer science or engineering, proficiency in machine learning algorithms, and strong analytical skills, usually backed by a relevant degree. Familiarity with programming languages like Python or C++, knowledge of AI frameworks (such as TensorFlow or PyTorch), and experience with embedded systems or robotics platforms are typically required. Creative problem-solving, adaptability, and effective communication help professionals excel in interdisciplinary teams and innovative environments. These skills are essential for designing, implementing, and optimizing intelligent systems that solve complex real-world problems.

What are some common challenges faced by professionals working in intelligent systems roles, and how can they be addressed?

Professionals in Intelligent Systems often encounter challenges such as integrating AI solutions with legacy systems, ensuring data quality for machine learning models, and keeping up with rapid advancements in technology. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is key to overcoming these hurdles. Staying proactive through continuous learning and participating in industry forums or trainings also helps professionals remain effective and innovative in this evolving field.

What is the difference between Intelligent Systems vs Data Analysts?

AspectIntelligent SystemsData Analysts
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fieldsBachelor's or higher in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, research labs, AI development firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI, automation, robotics, and software developmentUsed in data interpretation, reporting, and decision-making

Intelligent Systems focus on designing and developing AI-driven solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but differ in technical complexity and application areas.

What are popular job titles related to Intelligent Systems jobs in Arizona?

For Intelligent Systems jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Intelligent Systems job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $83,667 per year, or $40.2 per hour.

SAP MM Business Systems Analyst

Jobtailor

Tempe, AZ • On-site

$100 - $125/hr

Other

Posted yesterday

New


Job description

  • Identify additions or changes to systems, interfaces, functional system behavior, business processes, data requirements, and process automation
  • Translate business needs into documented system requirements and review them with the development group
  • Facilitate cross-functional meetings addressing business problems or systems issues
  • Develop and analyze system functional requirements according to end-to-end business processes
  • Test software and applications, using automated testing procedures where applicable, before launching enhancements
  • Support change management activities
  • Provide consulting and problem-solving to continuously improve business processes and data management
  • Apply AI, automation, and intelligent business process management principles to identify operational improvements and scalable enterprise solutions
  • Collaborate with business leaders and cross-functional teams to drive strategic outcomes
  • Perform other duties as assigned
Requirements
  • Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship or takeover of sponsorship is unavailable
  • Candidate must be located in the Phoenix, AZ metro area
  • Typically 3+ years of experience in Business Systems Analysis, ERP support, or related experience supporting business applications and processes
  • Experience working with SAP MM, procurement, or supply chain processes preferred
  • Bachelor’s degree in Business, Information Systems, or a related field; equivalent work experience may be considered
  • Experience gathering, analyzing, and documenting business and functional requirements
  • Ability to develop business process flows
  • Experience supporting SAP Materials Management (MM) processes, including procurement, material master, and vendor management preferred
  • Experience with Kinaxis RapidResponse/Maestro or other supply chain planning solutions is a plus
  • Familiarity with business process automation or AI-enabled process improvements is a plus
  • Strong organizational and analytical thinking skills and attention to detail
  • Proficient written and oral communication and interpersonal skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Collaborative mindset and proactive problem-solving approachInitiative and accountability to drive tasks to completion with minimal supervision
Core Competencies

Demonstrates expertise in Business Systems Analysis and ERP support, with a strong focus on SAP Materials Management (MM) processes and business process automation. Proven ability to translate business needs into functional requirements and drive strategic outcomes through collaboration and problem-solving.

Highest-signal resume keywords
  • Business Systems Analysis
  • SAP Materials Management (MM)
  • Business Process Automation
  • Requirements Gathering and Documentation
  • Analytical Thinking
ATS Optimization Keywords Hard Skills
  • Business Process Flows
  • Functional Requirements Analysis
  • Automated Testing Procedures
  • Data Management
  • Supply Chain Processes
Soft Skills
  • Organizational Skills
  • Attention to Detail
  • Written and Oral Communication
  • Interpersonal Skills
  • Proactive Problem-Solving
Industry Keywords
  • Change Management
  • Process Automation
  • AI-Enabled Process Improvements
  • Cross-Functional Collaboration
  • Strategic Outcomes
Tools & Technologies
  • SAP MM
  • Kinaxis RapidResponse
  • Maestro
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