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Data Ai Manager Jobs in Arizona (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

AI Engineer II

Phoenix, AZ · On-site

$110 - $170/hr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will ... Develop and maintain data pipelines, integrations, and reusable data products that enable AI and ...

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will ... Develop and maintain data pipelines, integrations, and reusable data products that enable AI and ...

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will ... Develop and maintain data pipelines, integrations, and reusable data products that enable AI and ...

Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Basic understanding of Data, Analytics, Cloud, AI, or modern enterprise technology concepts. * Strong follow-up, coordination, and organizational skills. * Ability to manage multiple customer ...

Client Success & Growth Executive

Phoenix, AZ · On-site

$76K - $103K/yr

Basic understanding of Data, Analytics, Cloud, AI, or modern enterprise technology concepts. * Strong follow-up, coordination, and organizational skills. * Ability to manage multiple customer ...

Client Success & Growth Executive

Phoenix, AZ · On-site

$76K - $103K/yr

Basic understanding of Data, Analytics, Cloud, AI, or modern enterprise technology concepts. * Strong follow-up, coordination, and organizational skills. * Ability to manage multiple customer ...

Client Success & Growth Executive

Phoenix, AZ · On-site

$76K - $103K/yr

Basic understanding of Data, Analytics, Cloud, AI, or modern enterprise technology concepts. * Strong follow-up, coordination, and organizational skills. * Ability to manage multiple customer ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

AI Solutions Architect - Life Sciences

Tempe, AZ · Hybrid

$60.25 - $79.50/hr

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Throughout the health ecosystem, you'll find courageous and ...

As a 360 Recruitment Consultant, you'll manage your own book of business in the dynamic Data & AI sector, driving full-desk recruitment from start to finish. Even during training, you'll have ...

Showing results 21-40

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:

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

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

Infographic showing various Data Ai Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI & GenAI Data Scientist - Manager

Pwc

Phoenix, AZ • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Lead teams in the development of scalable machine learning models and solutions

  • Manage complex data analysis and integration to support AI-driven initiatives


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK