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Automation Engineering Manager Jobs in Buckeye, AZ

Engineering Manager Location: Phoenix, AZ (Hybrid) Work Stream - AI Ops Engineering Manager - AI ... automation, and observability. · Lead the development of a greenfield AI Ops and Autonomous ...

PPS is seeking an experienced Controls Engineering Manager to lead its controls and automation function. This is a hands-on leadership opportunity for an experienced controls professional who can ...

As an Engineering Manager at P&G, you will be a critical leader, building technical mastery and ... Intelligent Controls & Automation (ICA): Lead design, development, and implementation of complex ...

Site Manufacturing Engineering Manager

Waddell, AZ · On-site

$107K - $133K/yr

Job Summary The Site Manufacturing Engineering Manager will play a critical leadership role in ... Lead the site's automation roadmap, including the implementation of robotics, PLCs, conveyor ...

Syntricate Technologies is seeking an Automation Engineer to join their team in Phoenix, AZ. The ... management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of ...

Enforce best practices for password management, multi-factor authentication (MFA), and secure access. Qualifications Qualifications & Skills: * 8+ years of experience in IT support, help desk, or ...

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Automation Engineering Manager information

See Buckeye, AZ salary details

$87.9K

$134.8K

$169.4K

How much do automation engineering manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for automation engineering manager in Buckeye, AZ is $134,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $156,200.00 per year, depending on experience, location, and employer.

What does an automation engineering manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive as an automation engineering manager?

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by automation engineering managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

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What cities near Buckeye, AZ are hiring for Automation Engineering Manager jobs?

Cities near Buckeye, AZ with the most Automation Engineering Manager job openings:

Engineering Manager - AIOps

Phoenix, AZ • On-site

Other

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


Job description

Role: Engineering Manager 

Location: Phoenix, AZ (Hybrid)

Work Stream - AI Ops

Engineering Manager – AI Ops & Autonomous Operations Platform 

We are seeking an Engineering Manager to build and lead an enterprise AI Ops platform that transforms IT operations through AI, automation, and observability.

· Lead the development of a greenfield AI Ops and Autonomous Operations platform.

· Build capabilities for proactive monitoring, intelligent alerting, and self-healing systems.

· Establish enterprise standards for observability, reliability, and operational intelligence.

· Own the AIOps roadmap, architecture, and delivery strategy.

· Lead teams of SREs, AI Engineers, Platform Engineers, and Automation Engineers.

· Implement AI-driven event correlation and root cause analysis.

· Drive automation of incident triage, diagnosis, and remediation workflows.

· Develop GenAI and Agentic AI solutions for operational support.

· Leverage telemetry data from logs, metrics, traces, events, and CMDB.

· Build enterprise observability solutions using OpenTelemetry and modern monitoring platforms.

· Define and mature SLI, SLO, SLA, and error-budget frameworks.

· Improve platform reliability, resilience, and operational efficiency.

· Reduce alert noise and operational toil through intelligent automation.

· Partner with Infrastructure, Cloud, Security, Risk, and Application teams.

· Lead major incident management and post-incident improvement programs.

· Establish AI-assisted operations practices and governance models.

· Drive cost optimization, capacity forecasting, and predictive operations.

· Deliver executive dashboards aligned to business outcomes and customer experience.

· Build a self-service operational intelligence platform for engineering teams.

· Create measurable improvements in MTTR, MTTA, availability, and engineering productivity.

Key Skills: AIOps, SRE, Observability, OpenTelemetry, Datadog, Splunk, ServiceNow, AI/ML, GenAI, Agentic AI, Kubernetes, Cloud Platforms, Incident Management, Automation, Platform Engineering, Reliability Engineering.