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Manager Intelligent Automation Jobs in Allen, TX

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead

Dallas, TX ยท On-site

$120K/yr

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Lead Position Description We're standing up a dedicated vulnerability management ... Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage ...

Automation Engineer (AI Systems)

Irving, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Automation Engineer is responsible for identifying, designing, and deploying intelligent ... You will work closely with software developers, engineers, project managers, finance, and ...

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 ...

AI/ML ENG III

Dallas, TX ยท On-site

$57 - $76.50/hr

  • Medical

  • Retirement

The role partners closely with PMO, Finance, Operations, and IT organizations to transform legacy processes into scalable AI-enabled solutions. Key Responsibilities AI Automation & Intelligent ...

New

Showing results 41-60

Manager Intelligent Automation information

See Allen, TX salary details

$28.8K

$108.5K

$157.7K

How much do manager intelligent automation jobs pay per year?

As of Aug 12, 2026, the average yearly pay for manager intelligent automation in Allen, TX is $108,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $129,300.00 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 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 UiPath or Automation Anywhere and may hold certifications in automation or project management.

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 are popular job titles related to Manager Intelligent Automation jobs in Allen, TX? For Manager Intelligent Automation jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Manager Intelligent Automation jobs in Allen, TX look for? The top searched job categories for Manager Intelligent Automation jobs in Allen, TX are:
Infographic showing various Manager Intelligent Automation job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $108,465 per year, or $52.1 per hour.

Automation Lead

System One

Dallas, TX โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Automation Lead Job Type: Permanent Full Time Description: Automation Lead Position Description We're standing up a dedicated vulnerability management practice at one of the largest banks in the US, automating what two vendor teams currently do by hand, and building the AI layer that takes it further. The work is hands-on, the impact is visible, and you'll have a delivery team ready to execute behind you from day one. This position is located at our client site in Cleveland, OH, Pittsburgh, PA, or Dallas, TX. For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available. Future duties and responsibilities Automation Pipeline Development & Maintenance . Build, maintain, and enhance the runbook library for L1 and L2 vulnerability remediation - covering OS patching, base image updates, SSL/TLS configuration, infrastructure config changes, and middleware updates . Develop and maintain automation scripts for vulnerability intake, deduplication, and routing across scan sources including Archer, Tanium, Sysdig, SecurityCenter, and Imperva . Implement and maintain CI/CD pipeline integrations per architecture specifications - Jenkins and GitHub Actions specifically . Build and maintain automated PR generation pipelines for container base image updates and library version bumps across application mnemonics . Develop and maintain the automated RITM generation integration with ServiceNow - triggering, routing, and status tracking without manual intervention . Ensure automation pipeline health through proactive monitoring, alerting, and self-healing mechanisms Policy-as-Code & Security Automation . Implement policy-as-code rules using OPA/Conftest per framework specifications defined by the Solution Architect . Build automated policy enforcement and risk-based gating mechanisms within CI/CD pipelines . Develop and maintain automated vulnerability scanning integrations - SAST, DAST, SCA, container scanning, IaC scanning, and secrets detection . Build feedback loop mechanisms to flag and retest vulnerabilities prior to production deployment . Implement and maintain compliance automation rules and audit-ready evidence generation AI & Intelligent Automation . Collaborate with AI/ML Engineers to build and maintain the AI triage engine integration - connecting vulnerability feeds to the LangChain-based routing and scoring layer . Build the deduplication layer that normalizes and cross-references vulnerability data across multiple scan sources . Implement automated vulnerability routing logic based on risk scores, asset criticality, and remediation pathway classification . Build and maintain AI co-pilot integrations for L3 simple fix PR generation - Python-based agent pipeline using LangChain and Azure OpenAI . Develop feedback loop mechanisms that feed closure data back into the triage model for continuous accuracy improvement Reporting & Dashboard Development . Build and maintain the unified SLA compliance dashboard in Archer - real-time vulnerability status, MTTR tracking, backlog burn-down by severity and mnemonic . Develop weekly automated SLA burn-down reports and monthly executive summaries per specifications defined by the Solution Architect . Build Jira-based tracking integrations unifying WS1 and WS2 reporting into a single view . Implement automated data pipelines that aggregate vulnerability status across Archer, ServiceNow, Jira, and scan sources into the reporting layer . Develop and maintain operational metrics dashboards - automation efficiency, runbook execution rates, PR generation throughput, AI triage accuracy Continuous Improvement . Identify opportunities to automate recurring manual tasks across all three execution crews and implement solutions . Monitor runbook execution performance and tune scripts to improve throughput and reduce failure rates . Contribute execution-level insights to the Solution Architect for continuous improvement of the automation framework . Document all automation scripts, runbooks, and integration patterns in Confluence - maintaining up-to-date operational guides for the GCC execution teams . Support knowledge transfer of automation frameworks to execution crew members as new capabilities are deployed Required Qualifications: 8+ years of hands-on experience in DevSecOps, automation engineering, or infrastructure automation . Strong Python scripting, Ansible and Terraform experience - daily operational use for automation scripts, API integrations, and data pipeline development . Hands-on Jenkins and GitHub Actions experience - pipeline build, maintenance, and troubleshooting, not just design-level familiarity . Experience building and maintaining CI/CD security integrations - at least two of SAST, DAST, SCA, container scanning, or IaC scanning tools in production environments . ServiceNow API integration experience - ITSM workflow automation, RITM creation, and status tracking via REST API . Docker and container operations experience - base image management, Dockerfile optimization, container security scanning . OPA/Conftest or equivalent policy-as-code implementation experience . Experience with GRC or vulnerability management platforms - Archer, Qualys, Tenable, or equivalent . Strong REST API development and integration experience - building automation pipelines that connect multiple enterprise systems . Jira administration and workflow automation experience . Strong communications (verbal and written) skills and solid technical writing experience . Strong attention to detail to spot discrepancies in transactions or customer information #M1 #DI-CB2 #L1 - KB1

Ref: #404-IT Pittsburgh