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Ai Program Manager Jobs in Raleigh, NC (NOW HIRING)

Veriipro

Compliance Program Lead

Raleigh, NC · On-site

Demonstrated experience using AI tools as part of research, planning, documentation, and problem-solving workflows. * Experience in Technical Program Management, Technical Leadership, Product ...

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Accenture

AI and Data Architect Manager

Raleigh, NC · On-site

The AI Architect Manager is a critical leadership role responsible for designing, developing, and ... and scale their AI programs across the Microsoft ecosystem. The incumbent will lead AI ...

Celonis

Manager, Services

Raleigh, NC · On-site

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context ... Proven track record of leading complex transformational customer programs. * Good understanding of ...

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Ai Program Manager information

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$34K

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$138.8K

How much do ai program manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai program manager in Raleigh, NC is $95,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $117,100.00 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 are popular job titles related to Ai Program Manager jobs in Raleigh, NC?

For Ai Program Manager jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Program Manager jobs in Raleigh, NC look for?

The top searched job categories for Ai Program Manager jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Program Manager jobs?

Cities near Raleigh, NC with the most Ai Program Manager job openings:

Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $104,454 per year, or $50.2 per hour.

Compliance Program Lead

Morrisville, NC • On-site

Neshent Technologies
11 - 50 employees
Learn more about Neshent Technologiesexternal

Full-time

Posted 5 days ago

Job description

Roles and Responsibilities
  • Develop and maintain the technical roadmap and execution plan for cybersecurity and regulatory compliance initiatives.
  • Translate regulatory requirements into actionable technical proposals covering SBOMs, vulnerability management, vulnerability disclosure, secure-by-design practices, and audit documentation.
  • Drive program execution across engineering teams by assigning and tracking deliverables, identifying risks, and maintaining delivery schedules.
  • Represent compliance initiatives in meetings with Product, Engineering, Security, Legal, Compliance, and other stakeholders.
  • Partner with Product Managers to prioritize and sequence compliance work alongside broader product and platform roadmaps.
  • Coordinate cross-functional teams and remove delivery blockers to keep engineering work progressing.
  • Monitor program milestones, dependencies, risks, and issues and provide regular status updates to leadership.
  • Ensure regulatory and compliance requirements are clearly understood and consistently implemented across teams.
  • Leverage AI tools to accelerate research, requirements analysis, technical documentation, planning, and stakeholder communication.
Required Qualifications
  • Bachelor's degree in any field or equivalent professional experience.
  • Demonstrated experience using AI tools as part of research, planning, documentation, and problem-solving workflows.
  • Experience in Technical Program Management, Technical Leadership, Product Management, or a similar hybrid technical role.
  • Experience translating security, compliance, regulatory, or risk requirements into technical plans and deliverables.
  • Knowledge of areas such as Software Bill of Materials (SBOM), vulnerability management/disclosure, secure-by-design practices, and audit documentation.
  • Experience working closely with Product Managers and Engineering teams on cross-functional initiatives.
  • Strong understanding of software architecture and technical concepts, with the ability to develop technical proposals that engineering teams can evaluate and implement.
  • Strong stakeholder management, communication, organization, and project execution skills.
  • Ability to operate effectively in ambiguous and rapidly evolving environments.
Preferred Qualifications
  • Direct experience with Cyber Resilience Act (CRA) or similar cybersecurity regulations.
  • Experience leading multi-team cybersecurity, compliance, or regulatory programs.
  • Experience working with global cybersecurity standards and regulatory frameworks.
  • Experience using AI-assisted tools for program management, technical analysis, and documentation.

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