ZipRecruiter

Log In

1

Manager Ai Automation Jobs in Texas (NOW HIRING)

Vizient

AI Intelligent Automation, Director

Irving, TX

$117K - $206K/yr

In this role, you will lead the operational management and continued maturation of Vizient's AI Intelligent Automation organization, translating enterprise AI and automation strategy into an ...

New

3Core Systems, Inc.

Senior AI & Automation Engineer

Austin, TX · On-site

$103K - $135K/yr

Senior AI & Automation Engineer (Must have strong software engineering experience and be able to ... Manager said they need to be able to rely on this resource to interact directly with executives.We ...

3coresystems

Senior AI & Automation Engineer

Austin, TX · Hybrid

$103K - $135K/yr

Senior AI & Automation Engineer (Must have strong software engineering experience and be able to ... Manager said they need to be able to rely on this resource to interact directly with executives. We ...

EECU

Manager, AI & Data Analytics

Fort Worth, TX · On-site

Develop and execute enterprise AI, automation, and analytics strategies. * Identify opportunities ... Manage and mentor a team of Data Analysts. * Foster a culture of innovation, collaboration, and ...

next page

Showing results 1-20

All JobsAi Automation JobsManager Ai Automation JobsManager Ai Automation Jobs in Texas

Manager Ai Automation information

What does a manager AI automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager AI automation, and why are they important?

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a manager AI automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What is the difference between Manager Ai Automation vs Data Scientist?

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

Is manager AI automation a high paying job?

Manager AI automation roles typically offer high salaries due to the specialized skills required, such as expertise in AI, machine learning, and automation tools. Compensation varies based on experience, industry, and location, but these positions are generally well-paid compared to many other tech roles.

What are the most commonly searched types of Ai Automation jobs in Texas?

The most popular types of Ai Automation jobs in Texas are:

What are popular job titles related to Manager Ai Automation jobs in Texas?

For Manager Ai Automation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Manager Ai Automation jobs in Texas look for?

The top searched job categories for Manager Ai Automation jobs in Texas are:

What cities in Texas are hiring for Manager Ai Automation jobs?

Cities in Texas with the most Manager Ai Automation job openings:

Manager Ai Automation jobs near you
Infographic showing various Manager Ai Automation job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

AI Intelligent Automation, Director

Vizient

Irving, TX

$117K - $206K/yr

Full-time

Posted 3 days ago

New

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will lead the operational management and continued maturation of Vizient's AI Intelligent Automation organization, translating enterprise AI and automation strategy into an executable portfolio that delivers measurable business value. You will own portfolio management, intake and prioritization, roadmap planning, workforce and capacity planning, budgeting, vendor management, governance, performance reporting, and business value realization. You will partner with business and technology leaders to identify high-value opportunities, establish priorities, and ensure investments align with enterprise objectives. Working closely with the Manager, AI Automation Engineering, who owns engineering delivery and AI Automation Delivery POD execution, and the Lead AI Automation Engineer, who owns solution architecture and engineering standards, you will ensure initiatives move predictably through the AI Development Lifecycle (AI-DLC). As a key partner to the Senior Director, AI Intelligent Automation, you will provide visibility into portfolio health, organizational capacity, financial performance, delivery risks, and business outcomes while continuously improving the organization's operating model, capabilities, governance, and delivery maturity.

Responsibilities:

  • Own enterprise automation intake, assessment, prioritization, and portfolio governance.
  • Manage roadmap planning, business demand, and portfolio sequencing.
  • Lead workforce planning, hiring, contractor strategy, and resource allocation.
  • Own operational budgets, licensing, vendor management, and financial reporting.
  • Partner with business stakeholders to define priorities and measure business value.
  • Monitor portfolio KPIs, operational health, customer satisfaction, and return on investment (ROI).
  • Provide executive reporting and regular portfolio updates.
  • Ensure governance, AI Development Lifecycle (AI-DLC) compliance, and operational excellence.
  • Partner with engineering leadership to identify and remove delivery risks.
  • Drive continuous improvement and organizational maturity.

Qualifications:

  • Relevant degree preferred.
  • 10+ years of experience in enterprise technology or automation leadership.
  • 5+ years of people leadership experience.
  • Experience with portfolio management, budgets, staffing, governance, and vendors.
  • Strong executive communication and stakeholder-management skills.
  • Healthcare experience preferred.
  • Experience with portfolio management, roadmap planning, capacity planning, governance, and KPI reporting.
  • Experience partnering with business stakeholders, communicating with executives, and managing financial and vendor relationships.
  • Experience with UiPath, Microsoft Power Platform, and AI-enabled automation.

Preferred Experience:

  • Automation Center of Excellence (CoE) leadership.
  • Enterprise transformation experience.
  • Healthcare or regulated-industry experience.

#LI-JB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Apply