Intelligent Automation Manager Job Description [Updated for 2025]

intelligent automation manager job description

In the evolving era of digital transformation, the emphasis on Intelligent Automation Managers has become increasingly prominent.

As the realm of technology progresses, the demand for proficient individuals who can strategize, implement, and maintain our intelligent automation systems escalates.

But let’s delve deeper: What’s actually expected from an Intelligent Automation Manager?

Whether you are:

  • A job aspirant trying to comprehend the core responsibilities of this role,
  • A recruitment manager constructing the profile for the ideal candidate,
  • Or simply fascinated by the complexities of intelligent automation,

You’ve landed at the right destination.

Today, we present a customizable Intelligent Automation Manager job description template, created for convenient posting on job boards or career portals.

Let’s dive straight into it.

Intelligent Automation Manager Duties and Responsibilities

Intelligent Automation Managers are responsible for overseeing the automation of business processes using tools such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML).

They play a key role in the strategic planning and execution of automation projects.

Their duties and responsibilities include:

  • Designing, developing, and implementing automation solutions using RPA, AI, and ML tools
  • Working closely with business and technology teams to identify and assess potential automation opportunities
  • Managing the complete lifecycle of automation projects, from ideation to deployment and maintenance
  • Creating and maintaining automation documentation, including design documents, process maps, and technical specifications
  • Monitoring and analyzing the performance of automation solutions, and making improvements as necessary
  • Providing training and support to end users of automation solutions
  • Keeping up-to-date with advancements in automation technology and best practices
  • Ensuring compliance with company policies and industry regulations in the implementation of automation solutions

 

Intelligent Automation Manager Job Description Template

Job Brief

We are seeking a dynamic Intelligent Automation Manager to lead our team in the development and implementation of automation strategies.

The successful candidate will have a strong understanding of intelligent automation, machine learning, and artificial intelligence.

They will be responsible for identifying automation opportunities, establishing automation goals, and overseeing the development of automation systems.

 

Responsibilities

  • Identify and prioritize processes for automation
  • Develop and implement intelligent automation strategies
  • Manage the design, testing, and implementation of automation systems
  • Maintain a current understanding of automation technology and best practices
  • Collaborate with cross-functional teams to integrate automation systems
  • Train and guide staff in the use of automation systems
  • Monitor the effectiveness of automation systems and make improvements as necessary
  • Ensure compliance with industry standards and regulations

 

Qualifications

  • Proven experience as an Intelligent Automation Manager or similar role
  • Strong knowledge of intelligent automation, machine learning, and artificial intelligence
  • Experience with automation tools and software
  • Excellent analytical and problem-solving skills
  • Strong leadership and project management abilities
  • Excellent communication and interpersonal skills
  • Bachelor’s degree in Computer Science, Engineering, or a related field

 

Benefits

  • 401(k)
  • Health insurance
  • Dental insurance
  • Retirement plan
  • Paid time off
  • Professional development opportunities

 

Additional Information

  • Job Title: Intelligent Automation Manager
  • Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
  • Reporting Structure: Reports to the Director of Technology or Chief Technology Officer.
  • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
  • Pay Range: $150,000 minimum to $250,000 maximum
  • Location: [City, State] (specify the location or indicate if remote)
  • Employment Type: Full-time
  • Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
  • Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does an Intelligent Automation Manager Do?

An Intelligent Automation Manager works primarily in businesses that leverage artificial intelligence (AI) and automation technologies to enhance their operations or services.

They are responsible for strategizing, implementing, and managing automation processes within a business.

This can involve designing robotic process automation (RPA), dealing with machine learning algorithms, or integrating AI functionalities into business models.

They work closely with other team members such as data scientists, business analysts, and IT specialists to ensure the effectiveness of the automation processes.

This involves overseeing the development, testing, and deployment phases of the automation projects.

Intelligent Automation Managers also assess the outcomes of the automation initiatives against the set goals, using key metrics to evaluate success and identify areas for improvement.

On top of that, they may be responsible for educating other stakeholders in the business about the benefits and potential applications of intelligent automation, promoting its adoption across the organization.

They often have to stay updated with the latest trends and developments in AI and automation, in order to implement the most effective and up-to-date solutions for their organization.

 

Intelligent Automation Manager Qualifications and Skills

An Intelligent Automation Manager should possess a range of technical skills, business acumen, and leadership abilities, which include:

  • Strong understanding of Intelligent Automation (IA) technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) to effectively manage and oversee automation projects.
  • Excellent project management skills to plan, execute, and supervise the implementation of automation systems within the organization.
  • Ability to analyze and identify business processes that are suitable for automation, using problem-solving skills and analytical thinking.
  • Experience in managing multi-disciplinary teams, including developers, data scientists, and business analysts, using effective team leadership and interpersonal skills.
  • Proficiency in presenting and communicating technical information to non-technical stakeholders, using outstanding communication skills.
  • Ability to work collaboratively with IT and business units to align IA strategy with business objectives.
  • Deep understanding of data analysis and interpretation, to effectively evaluate the performance of IA systems and make necessary improvements.
  • Experience in managing and mitigating risks associated with IA projects, while ensuring compliance with regulatory requirements.

 

Intelligent Automation Manager Experience Requirements

Intelligent Automation Managers generally have a minimum of 5-7 years of professional experience in the field of automation technology, information systems, or computer science.

Entry-level positions in the automation field, such as Automation Engineer or Business Analyst, usually provide the foundational experience required.

These roles often involve working with various automation tools, software development, and data analysis, which are crucial skills for an Intelligent Automation Manager.

Candidates with 3 to 5 years of experience often progress to roles such as Senior Automation Engineer or Automation Architect, where they gain deeper expertise in process automation, artificial intelligence, and machine learning.

Those with more than 5 years of experience should ideally have some leadership experience, such as managing a team or leading an automation project.

This experience is vital as the role of an Intelligent Automation Manager often involves overseeing automation projects, strategizing the automation roadmap, and leading a team of automation professionals.

Additional experience in change management and business process management is also highly desirable for this role.

Also, a strong understanding of RPA (Robotic Process Automation) tools, AI (Artificial Intelligence), and Machine Learning is beneficial.

Lastly, a successful Intelligent Automation Manager would typically have experience in identifying and implementing automation opportunities in a business setting, making experience in project management and business transformation highly desirable.

 

Intelligent Automation Manager Education and Training Requirements

Intelligent Automation Managers typically have a bachelor’s degree in computer science, data science, information technology, or another related field.

They should possess strong knowledge of artificial intelligence and automation technologies, with a focus on machine learning, robotic process automation (RPA), and intelligent automation.

Prior work experience in project management and software development is often required, along with a thorough understanding of various programming languages such as Python, R, Java, and others.

Some positions may require an Intelligent Automation Manager to have a master’s degree in a specific IT, data science, or automation technology discipline.

Certifications in automation tools like UiPath, Automation Anywhere, Blue Prism, and others can also be advantageous.

Similarly, a certification in project management such as PMP (Project Management Professional) could be beneficial.

Having a master’s degree and/or certification may demonstrate a candidate’s leadership potential, commitment to the field, and dedication to continuous learning.

Most importantly, an Intelligent Automation Manager should have excellent problem-solving skills, critical thinking, and the ability to strategize and implement automation solutions effectively.

 

Intelligent Automation Manager Salary Expectations

An Intelligent Automation Manager earns an average salary of $112,365 (USD) per year.

However, the total compensation can vary widely depending on factors such as experience, education, the sector of employment, and the geographical location.

 

Intelligent Automation Manager Job Description FAQs

What skills does an Intelligent Automation Manager need?

An Intelligent Automation Manager should have strong analytical skills to assess processes and identify opportunities for automation.

They should also have a deep understanding of artificial intelligence and robotic process automation technologies.

Project management, communication, and leadership skills are also critical as they will be overseeing teams and coordinating with different stakeholders.

 

Do Intelligent Automation Managers need a degree?

Typically, Intelligent Automation Managers hold a bachelor’s degree in computer science, information systems, or a related field.

Some employers may prefer candidates with a master’s degree in business administration or a related field.

A professional certification in project management or a certificate in a specific automation technology can also be beneficial.

 

What should you look for in an Intelligent Automation Manager resume?

Look for experience in leading automation projects, knowledge of AI and automation tools, and a strong technical background.

They should have a track record of implementing automation technologies and a deep understanding of business process management.

Certifications in project management or specific automation platforms can also be a plus.

 

What qualities make a good Intelligent Automation Manager?

A good Intelligent Automation Manager is forward-thinking and always on the lookout for processes that can be optimized through automation.

They should have excellent leadership skills to guide their team effectively and should be great communicators to liaise with various departments and stakeholders.

Analytical skills and attention to detail are also crucial for identifying opportunities for automation and ensuring successful implementation.

 

Is it difficult to hire an Intelligent Automation Manager?

Hiring an Intelligent Automation Manager can be a challenge given the highly specialized nature of the role.

It requires a combination of strong technological acumen, understanding of business processes, and project management skills.

The job market for these roles is competitive, so offering competitive salaries, opportunities for growth, and a culture of innovation can help attract top talent.

 

Conclusion

And there we have it.

Today, we’ve delved deep into the world of what it truly means to be an Intelligent Automation Manager.

Surprise?

It’s not just about managing automation processes.

It’s about orchestrating a symphony of intelligent automation that drives business growth and transformation.

Armed with our go-to Intelligent Automation Manager job description template and real-life instances, you’re ready to step up.

But why stop at the surface?

Explore further with our job description generator. It’s your gateway to creating spot-on job listings or finessing your resume to matchless precision.

Never forget:

Every automation solution is a piece in the grand puzzle of business evolution.

Let’s orchestrate that future. Together.

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