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Manager Intelligent Automation Jobs in Florida (NOW HIRING)

Itau

Automation Engineer

Miami, FL · On-site

... intelligent workflow solutions, or Robotic Process Automation (RPA). * Knowledge of enterprise architecture frameworks and governance methodologies. * Experience managing vendor relationships and ...

KnowBe4

VP Talent Management

Clearwater Beach, FL · On-site

Champion the adoption of agentic AI and intelligent automation within talent management workflows ... including AI-driven learning recommendations, automated performance check-in nudges, skills gap ...

KnowBe4

VP Talent Management

Clearwater, FL · On-site

Champion the adoption of agentic AI and intelligent automation within talent management workflows ... including AI-driven learning recommendations, automated performance check-in nudges, skills gap ...

KnowBe4

VP Talent Management

Clearwater Beach, FL · On-site

Champion the adoption of agentic AI and intelligent automation within talent management workflows ... including AI-driven learning recommendations, automated performance check-in nudges, skills gap ...

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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 Aug 19, 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.

What is a manager 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.

What are the key skills and qualifications needed to thrive as a manager intelligent automation?

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 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 do managers of intelligent automation get paid?

Managers of intelligent automation typically earn between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have skills in process automation tools like RPA software and project management, which can influence salary levels.

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 August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $87,140 per year, or $41.9 per hour.

Information Technology_USA - USA_Lead

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 18 days ago

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted --hr
REQUIREMENT_CITY -Alpharetta-Need to come to office for F2F Round and work from office 3 days a week
REQUIREMENT_ID-10830381
Role Name - Privileged Access Engineer (PAM) with AI Capabilities
ROLE_DESCRIPTION -
Privileged Access Engineer (PAM) with AI Capabilities - Job Description
Role Overview
The Privileged Access Engineer (PAM) with AI Capabilities is responsible for securing privileged access across enterprise systems by implementing advanced PAM solutions while leveraging Artificial Intelligence (AI) and Machine Learning (ML) to enhance threat detection, automation, and decision-making.
This role blends cybersecurity engineering with AI-driven analytics to proactively identify risks, automate privileged access controls, and enable adaptive security frameworks.
Key Responsibilities
1. PAM Engineering & Implementation
Design, implement, and manage PAM solutions:
CyberArk, BeyondTrust, Delinea, HashiCorp Vault
Configure:
Privileged account onboarding and lifecycle management
Password vaulting, rotation, and credential management
Privileged Session Management (PSM)
Implement Just-In-Time (JIT) and Just-Enough-Access (JEA) models
2. AI-Driven Security & Automation
Develop and integrate AI/ML models to:
Detect anomalous privileged access behavior
Identify insider threats and suspicious activity
Predict and prevent access misuse
Use AI for:
Behavioral analytics (UEBA - User & Entity Behavior Analytics)
Risk-based authentication and access decisions
Implement intelligent automation for:
Privileged account onboarding/offboarding
Access approvals and policy enforcement
3. Advanced Monitoring & Threat Detection
Leverage AI-enabled SIEM tools (e.g., Splunk, Microsoft Sentinel) for:
Real-time monitoring of privileged sessions
Automated alert prioritization
Implement:
Session recording and playback
AI-driven anomaly detection and alert tuning
Support incident response and forensic investigations
4. Integration & Data Engineering
Integrate PAM with:
IAM systems (Entra ID, Okta, SailPoint)
Security tools (SIEM, SOAR, EDR/XDR)
Cloud platforms (AWS, Azure, GCP)
Work with:
APIs, REST services, JSON
Data pipelines for feeding security analytics platforms
Build AI-ready datasets from logs and access activity
5. Governance, Risk & Compliance
Enforce:
Least privilege access
Zero Trust principles
Support compliance with:
SOX, GDPR, PCI-DSS, ISO 27001
Generate AI-assisted compliance reports and audit insights
Contribute to policy definition and governance frameworks
6. Automation & DevSecOps
Develop scripts and automation workflows using:
Python, PowerShell, Bash
Integrate PAM into:
CI/CD pipelines (DevSecOps)
Implement AI-assisted remediation workflows using SOAR tools
7. Collaboration & Innovation
Partner with:
Security operations (SOC) teams
Data science / AI teams
IAM architects and cloud engineers
Evaluate emerging AI-driven security tools
Drive innovation in Intelligent Identity Security and Autonomous Access Management
Skills: Cyber Security~Cyber Security - IAM Professional Services
Experience Required: 8-10, Project Code :

Apply