1

Director Ai Automation Jobs (NOW HIRING)

AI Intelligent Automation, Director

Irving, TX ยท On-site

$117K - $206K/yr

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 ...

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 ...

AI Intelligent Automation, Director

Edina, MN ยท On-site

$117K - $206K/yr

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 ...

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 ...

next page

Showing results 1-20

Director Ai Automation information

See salary details

$31K

$116.6K

$169.5K

How much do director ai automation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director ai automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What does a director AI automation do?

A Director of AI Automation leads the strategy, development, and implementation of artificial intelligence and automation solutions within an organization. They oversee teams working on automating business processes, integrating AI technologies, and optimizing workflows to improve efficiency and reduce costs. This role involves collaborating with various departments to identify automation opportunities, ensuring compliance with regulations, and staying updated on emerging AI trends. The Director also manages budgets, mentors staff, and measures the impact of automation initiatives on business outcomes.

What are the key skills and qualifications needed to thrive as a director AI automation?

To thrive as a Director of AI Automation, you need deep expertise in artificial intelligence, machine learning, process automation, and strategic leadership, often supported by an advanced degree in computer science or engineering. Familiarity with AI development frameworks, cloud platforms, data analytics tools, and certifications like PMP or Six Sigma are commonly required. Outstanding communication, visionary problem-solving, and team leadership skills set top performers apart in this role. These skills ensure the successful implementation of AI automation strategies that drive efficiency, innovation, and business growth.

What are some common challenges faced by a director AI automation when implementing new automation strategies within an organization?

A Director of AI Automation often encounters challenges such as integrating new AI solutions with existing legacy systems, managing change resistance among staff, and ensuring that automation initiatives align with business goals. Balancing the need for rapid innovation with data privacy and compliance requirements is also critical. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders is essential to ensure successful deployment and adoption of AI-driven automation.

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

AspectDirector Ai AutomationData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in AI and automation projectsBachelor's or Master's in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads AI automation teams, collaborates with engineering and product teams, oversees project implementationAnalyzes data, develops models, and provides insights; often works in research or analytics teams
Employer & Industry UsageTech companies, manufacturing, finance, and industries adopting AI automationTech firms, research institutions, finance, healthcare, and analytics-focused organizations

While both roles require technical expertise in AI and data handling, the Director Ai Automation focuses on leading automation projects and managing teams, whereas Data Scientists primarily analyze data and develop models. The Director role is more strategic and managerial, while Data Scientists are more hands-on with data analysis and model development.

More about Director Ai Automation jobs

What cities are hiring for Director Ai Automation jobs?

Cities with the most Director Ai Automation job openings:

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

The most popular types of Ai Automation jobs are:

What states have the most Director Ai Automation jobs?

States with the most job openings for Director Ai Automation jobs include:

Infographic showing various Director Ai Automation job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

AI Intelligent Automation, Director

Vizient, Inc.

Chicago, IL โ€ข On-site

$117K - $206K/yr

Full-time

Posted 8 days ago


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.

Provide project management leadership for strategic, complex, and cross-functional AI Intelligent Automation initiatives, ensuring clear scope, milestones, timelines, dependencies, ownership, and delivery commitments. Develop and maintain integrated project plans, RAID logs, decision logs, action-item tracking, milestone schedules, and executive-level status reporting for priority initiatives. 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. Demonstrated experience leading complex, cross-functional technology projects from initiation through implementation, including project planning, milestone management, dependency coordination, risk management, and executive status reporting.

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.