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Ai Program Manager Jobs in Miramar, FL (NOW HIRING)

The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... This role leads the programs, learning, content, and measurement that drive adoption and effective ...

The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... This role leads the programs, learning, content, and measurement that drive adoption and effective ...

The Analyst partners closely with the Director, Consumer AI and Manager, Consumer AI Solutions to ... Support user acceptance testing (UAT), pilot programs, and solution validation activities

Analyst, Consumer AI

Miami, FL · On-site

$70 - $100/hr

The Analyst partners closely with the Director, Consumer AI and Manager, Consumer AI Solutions to ... Support user acceptance testing (UAT), pilot programs, and solution validation activities

Showing results 21-40

Ai Program Manager information

See Miramar, FL salary details

$35.7K

$99.6K

$145.5K

How much do ai program manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai program manager in Miramar, FL is $99,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $122,800.00 per year, depending on experience, location, and employer.

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 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 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.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options. Strong project management skills and knowledge of AI tools are important for this role.

What job categories do people searching Ai Program Manager jobs in Miramar, FL look for?

The top searched job categories for Ai Program Manager jobs in Miramar, FL are:

What cities near Miramar, FL are hiring for Ai Program Manager jobs?

Cities near Miramar, FL with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Miramar, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 52% In-person, and 48% Remote job distribution, with an average salary of $99,591 per year, or $47.9 per hour.

Senior Manager, Security Technical Program Management

Kaseya Careers

Miami, FL

Full-time

Re-posted 16 days ago


Job description

Job Summary

Kaseya is looking for a Senior Manager to lead the Security Technical Program Management team. This role will be responsible for driving execution across key security, infrastructure, compliance, and platform initiatives while building strong operational rigor across the organization. The right person for this role knows how to navigate complex environments, bring structure to ambiguity, and keep large cross-functional programs moving forward. This is a highly visible leadership role that requires strong technical understanding, program leadership experience, and the ability to communicate effectively with both engineering teams and executives.

Roles & Responsibilities

  • Lead and grow the Security TPM organization supporting enterprise security and infrastructure initiatives.
  • Coach and mentor Technical Program Managers across multiple workstreams.
  • Establish strong program management practices, execution discipline, and operational transparency.
  • Create clear governance models, reporting structures, and escalation paths.
  • Drive large-scale security and infrastructure programs across areas such as: Security hardening, SSDLC / DevSecOps, IAM and access management, Cloud infrastructure and platform security, Vulnerability management, Compliance and audit readiness, Security operations improvements, and AI/ML platform governance and security.
  • Manage cross-functional dependencies, risks, timelines, and executive communications.
  • Ensure programs are aligned to business priorities and delivered with measurable outcomes.
  • Partner closely with Engineering, Product, Infrastructure, Security Architecture, GRC, and Operations teams.

Required Qualifications

  • 12+ years of experience in Technical Program Management, Engineering Program Management, or Security Program Management.
  • 5+ years managing TPM teams or large cross-functional technical programs.
  • Strong experience leading enterprise-scale security, cloud, infrastructure, or platform initiatives.
  • Solid understanding of security domains including IAM, SSDLC, cloud security, compliance, and infrastructure operations.
  • Experience working in AWS, Azure, or hybrid cloud environments.

Preferred Qualifications

  • Strong executive communication and stakeholder management skills.
  • Ability to operate effectively in fast-moving and highly cross-functional environments.
  • Experience with Agile delivery models, program governance, and operational reporting.
  • Experience in SaaS, cybersecurity, or enterprise platform organizations.
  • Familiarity with AI/ML platform security and governance.
  • Experience driving operational maturity and process transformation initiatives.
  • PMP, CISSP, CISM, SAFe, or cloud certifications are a plus.