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Ai Program Manager Jobs in Arizona (NOW HIRING)

Wise Skulls

Technical Program Manager

Phoenix, AZ · On-site

$124K - $161K/yr

Technical Program Manager Location: Phoenix, AZ - Onsite Duration: 6+ months (possibility of ... AI-assisted engineering, automation, and developer productivity programs. * Observability ...

Amat

Productivity Program Manager

Phoenix, AZ

$108K - $148K/yr

... our world - like AI and IoT. If you want to push the boundaries of materials science and ... Ensure disciplined program management, governance, and accountability throughout implementation.

GTI Fabrication

Senior Program Manager

Goodyear, AZ

$135K - $160K/yr

To support our rapid growth, we are looking for a Senior Program Manager who will be responsible ... Privacy Policy Terms & Conditions We may use artificial intelligence (AI) tools to support parts of ...

Waymo

Event Security Program Manager

Tempe, AZ · Hybrid

$123K - $150K/yr

Progressive experience in corporate security program management focused on event security ... Experience utilizing Artificial Intelligence (AI) or LLMs to optimize protective services workflows ...

Waymo

Event Security Program Manager

Tempe, AZ · On-site

$123K - $150K/yr

Progressive experience in corporate security program management focused on event security ... Experience utilizing Artificial Intelligence (AI) or LLMs to optimize protective services workflows ...

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All JobsAi Program JobsAi Program Manager JobsAi Program Manager Jobs in Arizona

Ai Program Manager information

See Arizona salary details

$35.9K

$100.1K

$146.3K

How much do ai program manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for ai program manager in Arizona is $100,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $123,500.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of AI tools into project workflows, coordinate teams, and manage timelines. While AI can automate routine tasks and support decision-making, human oversight remains essential for strategic planning, stakeholder communication, and complex problem-solving. The role is evolving to include managing AI systems rather than being fully replaced by them.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves balancing technical understanding with strategic oversight to deliver effective AI initiatives.

Which 3 jobs will survive AI?

For an AI Program Manager, roles that require complex strategic decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as executive leadership, specialized healthcare professionals, and creative roles like designers or writers. These jobs involve nuanced human judgment and interpersonal skills that AI currently cannot replicate fully. Continuous learning and adaptability are essential to stay relevant as AI advances.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Program Manager or senior AI executive, that offers a total compensation package including salary, bonuses, and stock options. These roles often require extensive experience, advanced skills in machine learning, leadership, and strategic planning, and are usually found in large tech companies or innovative startups. Such compensation reflects the high demand and specialized expertise in the AI industry.
What are popular job titles related to Ai Program Manager jobs in Arizona? For Ai Program Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Program Manager jobs in Arizona look for? The top searched job categories for Ai Program Manager jobs in Arizona are:
What cities in Arizona are hiring for Ai Program Manager jobs? Cities in Arizona with the most Ai Program Manager job openings:
Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $100,141 per year, or $48.1 per hour.
Technical Program Manager

Technical Program Manager

Wise Skulls

Phoenix, AZ • On-site

$124K - $161K/yr

Contractor

Posted 14 days ago

Job description

Title: Technical Program Manager
Location: Phoenix, AZ - Onsite
Duration: 6+ months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed (Financial Services)
JD:
Technical Program Manager - SRE Portfolio & Platform Health Initiatives
Key Responsibilities
Portfolio & Program Management
  • Manage a portfolio of SRE, Platform Engineering, Reliability, Infrastructure, Cloud, API, Identity, and Automation initiatives.
  • Develop and maintain integrated roadmaps, milestones, dependencies, deliverables, risks, and success metrics across all
  • platform health programs.
  • Drive prioritization, planning, execution tracking, and leadership reporting across multiple concurrent initiatives.
  • Ensure initiative objectives are aligned with VP-level priorities, technology strategy, and operational excellence goals.

End-to-End Delivery Ownership
  • Own delivery governance for each platform health initiative from planning through execution, closure, and operational
  • adoption.
  • Track all deliverables, milestones, action items, dependencies, risks, blockers, and stakeholder decisions to completion.
  • Drive closure of operational gaps, reliability improvements, vulnerability or compliance actions, technical debt remediation,
  • and modernization deliverables.
  • Ensure execution discipline across application teams, platform owners, SRE teams, infrastructure teams, and vendor partners.

Onsite-Offshore Coordination
  • Act as the primary bridge between onsite leadership, offshore delivery teams, platform owners, engineering teams, and
  • support organizations.
  • Manage resource planning, capacity alignment, onboarding readiness, work allocation, and delivery handoffs across
  • geographies.
  • Facilitate morning and late-day DSU calls as needed to coordinate onsite and offshore teams across different initiatives.
  • Facilitate daily, weekly, and executive governance forums to maintain alignment and drive timely decision making.
  • Ensure seamless communication, escalation management, and execution continuity across distributed teams.

SRE & Platform Health Governance
  • Lead platform health improvement initiatives focused on reliability, stability, resiliency, observability, operational readiness,
  • and incident reduction.
  • Coordinate service health reviews, production readiness assessments, operational reviews, remediation plans, and
  • executive checkpoints.
  • Drive adoption of SRE practices, automation frameworks, monitoring enhancements, alerting improvements, and
  • incident/problem management discipline.
  • Ensure alignment with availability, performance, capacity, resiliency, and operational objectives.

Stakeholder & Executive Management
  • Partner with VP, Directors, Engineering Managers, Product Owners, SRE Leads, Platform Owners, Business Stakeholders,
  • and vendor partners.
  • Prepare concise executive updates covering delivery health, KPIs, milestones, risks, escalations, decisions required, and
  • mitigation actions.
  • Facilitate steering reviews, governance meetings, portfolio reviews, leadership checkpoints, and cross-team dependency forums.
  • Manage stakeholder expectations and drive accountability across multiple organizations with competing priorities.

Technical Program Manager - SRE Portfolio & Platform Health Initiatives
Risk, Issue & Escalation Management
  • Establish and maintain RAID management across all initiatives.
  • Identify cross-platform dependencies, delivery blockers, leadership decisions, and resource constraints early.
  • Drive mitigation plans, escalation follow-ups, and closure of critical actions.
  • Maintain clear ownership and accountability for risks, issues, decisions, and dependencies.

Transformation & Modernization Scope
Programs and Initiatives Managed
  • SRE transformation and reliability engineering initiatives.
  • Platform health and operational excellence programs.
  • API management and API platform modernization initiatives.
  • Identity and access management platform initiatives.
  • Infrastructure modernization and environment readiness programs.
  • Cloud adoption, migration, and platform enablement programs.
  • DevOps, CI/CD, release automation, and engineering productivity initiatives.
  • AI-assisted engineering, automation, and developer productivity programs.
  • Observability, monitoring, alerting, and service health improvements.
  • Vulnerability remediation, compliance, resilience, and production readiness programs.

Required Skills & Experience
Experience
  • 10+ years of Program or Project Management experience in enterprise technology environments.
  • 5+ years managing large-scale SRE, Platform Engineering, Infrastructure, Cloud, DevOps, Reliability, or Automation portfolios.
  • Proven experience managing multiple stakeholders across VP, Director, Engineering, Product, Operations, and Vendor organizations.
  • Strong experience leading onsite-offshore delivery teams and distributed execution models.
  • Demonstrated ability to manage end-to-end deliverables across complex, multi-workstream technology programs.

Technical Knowledge
  • Site Reliability Engineering (SRE), platform engineering, infrastructure, and cloud services.
  • DevOps, CI/CD, SDLC, Agile delivery, release management, and change management.
  • API platforms, identity platforms, observability, monitoring, alerting, and incident/problem management.
  • Kubernetes/OpenShift, Terraform, Infrastructure as Code, automation frameworks, and enterprise platform operations.
  • AI/GenAI or developer productivity program exposure is preferred.

Tools & Platforms
  • Jira, Azure DevOps, ServiceNow, GitHub Enterprise, Confluence, Power BI, or equivalent dashboard/reporting tools.
  • Experience with executive dashboards, KPI tracking, RAID logs, delivery scorecards, and portfolio reporting.

Technical Program Manager - SRE Portfolio & Platform Health Initiatives
Preferred Qualifications
Certifications and Domain Exposure
  • PMP, PgMP, SAFe, Scrum Master, or ITIL certification preferred.
  • Experience working in Financial Services or other highly regulated environments preferred.
  • Experience with AI-assisted engineering platforms such as GitHub Copilot, Devin, automation tooling, or GenAI developer productivity solutions preferred.

Ideal Candidate Profile
Profile Summary
  • Senior Technical Program Manager with strong executive presence and proven experience managing enterprise-scale SREand platform engineering portfolios.
  • Able to operate effectively across VP, Director, Engineering Manager, Product Owner, SRE, Platform Owner, onsite,offshore, and vendor stakeholder groups.
  • Strong delivery leader capable of driving accountability, removing blockers, managing escalations, and ensuring successful execution of each platform health initiative.
  • Comfortable operating at both strategic and execution levels, with strong governance, communication, risk management, and portfolio reporting capabilities.

Apply