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Manager Intelligent Automation Jobs in Florida (NOW HIRING)

Phsorg

... cost management through intelligent automation. * Prioritize initiatives based on business value, implementation complexity, risk, and return on investment. * Serve as a strategic advisor to ...

Mwe

Senior Manager, AI & Analytics

Miami, FL

The Senior Manager, AI & Analytics owns the Accounting & Finance Systems Reporting, Data & AI ... Identify opportunities to apply AI, machine learning, and intelligent automation across Contract-to ...

HNTB

Construction Automation Team Lead

Lake Mary, FL

$83K - $108K/yr

... and intelligent automation. * Strong understanding of Common Data Environments (CDE), information management principles, and digital handover workflows aligned with industry standards. * Strong ...

Iru

Security Automation Engineer

Miami, FL

... intelligent automation. How You'll Make a Difference Day to Day: AI Security & Governance * Implement and operationalize AI security and governance frameworks. * Evaluate and manage risks associated ...

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All JobsIntelligent Automation JobsManager Intelligent Automation JobsManager Intelligent Automation Jobs in Florida

Manager Intelligent Automation information

See Florida salary details

$23.2K

$87.1K

$126.7K

How much do manager intelligent automation jobs pay per year?

As of Jul 30, 2026, the average yearly pay for manager intelligent automation in Florida is $87,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $103,900.00 per year, depending on experience, location, and employer.

Who is the CEO of Intelligent Automation Inc?

The CEO of Intelligent Automation Inc is not publicly listed, and the company is known for providing automation solutions and consulting services. Leadership information may be available on the company's official website or recent press releases.

What does an automation manager do?

An automation manager oversees the design, implementation, and maintenance of automation processes within an organization. They coordinate teams, select appropriate tools like robotic process automation (RPA) software, and ensure automation projects align with business goals. Strong project management and technical skills are essential for success in this role.

What is a Manager of Intelligent Automation?

A Manager of Intelligent Automation is a professional responsible for overseeing the implementation and management of automation technologies, such as robotic process automation (RPA) and artificial intelligence (AI), within an organization. Their role involves identifying processes that can be automated, leading automation projects, and ensuring that these solutions align with business objectives. They also collaborate with cross-functional teams to optimize workflows, improve efficiency, and reduce costs. Additionally, they may be responsible for training staff, monitoring performance, and staying updated on emerging automation trends.

Is AI automation a good career?

A career in AI automation, including roles like Manager of Intelligent Automation, is considered promising due to increasing adoption of automation technologies across industries. It typically requires skills in programming, process analysis, and familiarity with tools like RPA platforms and AI frameworks, offering opportunities for growth and high demand for qualified professionals.

Which 3 jobs will survive AI?

Manager in Intelligent Automation roles are likely to persist because they require strategic oversight, complex decision-making, and understanding of business processes that AI cannot fully replicate. Jobs involving creative problem-solving, emotional intelligence, and specialized skills such as healthcare professionals, software developers, and data analysts are also expected to remain in demand. These roles often require human judgment, adaptability, and continuous learning beyond AI capabilities.

What are the key skills and qualifications needed to thrive as a Manager Intelligent Automation, and why are they important?

To thrive as a Manager Intelligent Automation, you need expertise in process analysis, automation strategy, and project management, usually backed by a degree in computer science, engineering, or related fields. Proficiency with tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as RPA Developer or PMP, are typically required. Strong leadership, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovation. These skills are critical for successfully implementing automation initiatives that boost efficiency and deliver measurable business value.

How does a Manager of Intelligent Automation typically collaborate with cross-functional teams during automation projects?

A Manager of Intelligent Automation plays a pivotal role in bridging business units, IT, and operations to ensure automation solutions align with organizational goals. They frequently lead workshops with stakeholders to identify automation opportunities, translate business requirements into technical specifications for developers, and oversee project progress through regular meetings. Effective collaboration involves clear communication, managing expectations, and fostering a culture of continuous improvement, as well as providing support during change management to ensure seamless adoption of new automated processes.

What is the difference between Manager Intelligent Automation vs Business Process Manager?

AspectManager Intelligent AutomationBusiness Process Manager
Required CredentialsTypically requires certifications in automation tools, project management, and sometimes programmingOften requires business management, process improvement, or project management certifications
Work EnvironmentWorks closely with IT, automation teams, and technical stakeholdersFocuses on process optimization across departments, collaborating with business units
Industry UsageCommon in tech-driven industries, finance, and manufacturingWidely used across various industries for operational efficiency

The Manager Intelligent Automation focuses on implementing automation solutions using technical skills, while the Business Process Manager concentrates on optimizing overall business processes. Both roles aim to improve efficiency but differ in technical depth and scope.

What are the most commonly searched types of Intelligent Automation jobs in Florida? The most popular types of Intelligent Automation jobs in Florida are:
What are popular job titles related to Manager Intelligent Automation jobs in Florida? For Manager Intelligent Automation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manager Intelligent Automation jobs in Florida look for? The top searched job categories for Manager Intelligent Automation jobs in Florida are:
What cities in Florida are hiring for Manager Intelligent Automation jobs? Cities in Florida with the most Manager Intelligent Automation job openings:
Manager Intelligent Automation jobs near you
Infographic showing various Manager Intelligent Automation job openings in Florida as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,140 per year, or $41.9 per hour.

AI Enablement & Intelligent Automation Specialist

3Core Systems, Inc.

Deerfield Beach, FL • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description


Role: AI Enablement & Intelligent Automation Specialist
Location: Deerfield Beach, FL (Local candidates only - must be able to work on-site 3+ days per week)
Contract: 6+ Months
Overview:
We're looking for a hands-on AI adoption driver with strong consulting instincts to help scale AI and intelligent-automation adoption across the business. This person will meet stakeholders where they are, translate their processes into practical AI solutions, and build the enablement materials, playbooks, and reusable accelerators that turn AI interest into governed, everyday usage.
Key responsibilities:
  • Lead AI enablement across business groups- training, coaching, and workshop follow-through that converts interestinto active, governed usage.
  • Consult with business stakeholders to mapprocesses and recommend the right intelligent-automation solution, inlanguage both executives and end users understand.
  • Build reusable assets - playbooks, promptand skill libraries, templates, and accelerators - that grow aself-sufficient maker community.
  • Coordinate delivery across the AIportfolio, partnering with solution owners, business stakeholders, andtechnical teams to track progress, manage dependencies, and supportproject management activities.
  • Support governance and safe scalingthrough usage/adoption reporting, quality, and compliance.

Required qualifications:
  • 6-10 years in consulting, businessanalysis, or solution delivery, with a track record advising and enablingnon-technical users on productivity or automation tools.
  • Demonstrated success driving AI adoptionin a business setting.
  • Strong facilitation and consulting skills(workshops, process mapping, translating business needs into adoptedsolutions).
  • Excellent stakeholder communication -credible with executives and frontline users alike.
  • Experience building training content,documentation, and reusable, scalable resources.
  • Working knowledge of AI governance, datasecurity, and responsible-use practices.

Preferred qualifications:
  • Prior Center of Excellence or enablementexperience scaling AI/automation across an enterprise.
  • Hands-on experience building agents withCopilot Studio and solutions on the Power Platform.
  • Automotive, distribution, orfield-operations domain experience.
  • One or more current Microsoft Learn AIcredentials (e.g., AI-102, AI-900, Azure AI Foundry or Copilot StudioApplied Skills, PL-200, PL-600).

Skill Set
• 6-10 years in consulting, business analysis, or solution delivery, with a track record advising and enabling non-technical users on productivity or automation tools. • Demonstrated success driving AI adoption in a business setting. • Strong facilitation and consulting skills (workshops, process mapping, translating business needs into adopted solutions).

Apply