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Ai Data Analytics Jobs in Arizona (NOW HIRING)

ServiceNow, Inc.

Solution Architect - AI & Data

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Define AI-enabled target operating models, including process redesign, workforce impact analysis ... Data Architecture & Catalog Strategy * Lead the architectural design of enterprise data catalog ...

Assa Abloy

Senior Data Analytics Engineer

Phoenix, AZ · On-site

Apply AI-assisted techniques (e.g., anomaly detection, driver analysis, AI-assisted query or code ... Working knowledge of Python for data automation, scripting, and analysis is a plus. Deep ...

ASSA ABLOY

Senior Data Analytics Engineer

Phoenix, AZ · On-site

Apply AI-assisted techniques (e.g., anomaly detection, driver analysis, AI-assisted query or code ... Working knowledge of Python for data automation, scripting, and analysis is a plus. Deep ...

Intel Corporation

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ...

Sogeti

Senior Data Consultant - Lending & Credit Data

Phoenix, AZ · On-site

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilize Databricks to analyze and validate data, investigate issues, and support delivery of ... by AI, data and automation. Become Your Best | Disclaimer Capgemini is an Equal Opportunity ...

New

Sogeti

Senior Data Consultant - Lending & Credit Data

Phoenix, AZ · On-site

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilize Databricks to analyze and validate data, investigate issues, and support delivery of ... AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal ...

New

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

... Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI/ML ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals The Role As a ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals The Role As a ...

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Showing results 21-40

All JobsAi Data Analytics JobsAi Data Analytics Jobs in Arizona

Ai Data Analytics information

See Arizona salary details

$22

$51

$88

How much do ai data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai data analytics in Arizona is $51.02, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $57.79 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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

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

What job categories do people searching Ai Data Analytics jobs in Arizona look for?

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

What cities in Arizona are hiring for Ai Data Analytics jobs?

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

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,117 per year, or $51 per hour.

Solution Architect - AI & Data

ServiceNow, Inc.

Phoenix, AZ • On-site

$62.50 - $82.50/hr

Other

Re-posted yesterday

ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

100th of 245 rated software companies

Job description

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
The Team
The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment.
Solution Architect - AI & Data, Expert Services
As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how enterprise organizations adopt AI at the core of their operating models. This role goes beyond implementation - it bridges C-suite advisory, enterprise architecture, and organizational change to deliver lasting transformation outcomes.
The Solution Architect - AI & Data will operate at the intersection of AI strategy, solution architecture, and customer success - leading engagements from transformation vision and use-case definition through architecture design, governance, adoption, and ongoing value realization.
What you will do in this role:
AI Strategy & Transformation Advisory
  • Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value realization.
  • Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite.
  • Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda.
  • Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures.

Solution Architecture & Delivery Leadership
  • Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP).
  • Lead scoping and solutioning for complex, multi-workload AI engagements - ensuring architectural integrity, scalability, and alignment to customer outcomes.
  • Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution.
  • Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs.
  • Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business objectives.
  • Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments - cloud platforms, data warehouses, BI layers, and ServiceNow workflows.

Data Architecture & Catalog Strategy
  • Lead the architectural design of enterprise data catalog programs - defining scope, platform selection criteria, governance operating models, and phased adoption roadmaps.
  • Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases.
  • Shape data architecture principles and standards that underpin AI readiness - including data lineage, metadata quality, classification taxonomies, and access governance.
  • Translate complex data architecture requirements into clear, actionable designs that can be executed by delivery and technical teams.
  • Define success metrics and maturity benchmarks for data catalog programs, enabling customers to track progress and demonstrate value to executive stakeholders.

AI Governance, Risk & Responsible AI
  • Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures.
  • Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies.
  • Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs.
  • Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations, embedding controls into the design rather than as an afterthought.
  • Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment.

Adoption, Enablement & Change Management
  • Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications.
  • Define adoption KPIs and value realization metrics; track and report outcomes; provide consultative guidance for continuous optimization and expansion.
  • Coach customer teams to build internal AI capability, reducing dependency and accelerating long-term self-sufficiency.
  • Monitor adoption, usage, and value realization metrics post-deployment; provide recommendations for risk mitigation and growth.

Practice Development & Thought Leadership
  • Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams to embed AI advisory across the customer lifecycle.
  • Build and maintain industry-specific AI advisory playbooks and frameworks - verticalized use-case catalogs, value models, governance templates, and deployment patterns - to support scalable, repeatable delivery.
  • Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the organization at AI forums and customer briefings.
  • Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers.

Qualifications
To be successful in this role, you will have
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale.
  • Experience facilitating executive AI strategy engagements - including visioning workshops, maturity assessments, and transformation roadmap sessions - where the output is a customer-owned AI narrative, not just a delivery plan.
  • Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements - including use-case definition, business case development, integration, data strategy, governance, and operational adoption.
  • Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks.
  • Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms.
  • Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making.
  • Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels, from early adopters to AI-ready enterprises.
  • AI domain knowledge required, including: Generative AI Skills, AI Agents and Agentic workflows, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP).
  • Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL) as applied to enterprise data architecture.
  • Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience. ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable.
  • AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable.
  • Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable.

Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

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About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004

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