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Program Manager Artificial Intelligence Jobs (NOW HIRING)

The Senior Manager of Artificial Intelligence (AI) governs and program manages allAIinitiatives across Operations, Engineering, and Corporate Functions. This role is central to the company ...

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Program Manager Artificial Intelligence information

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How much do program manager artificial intelligence jobs pay per year?

As of Jun 27, 2026, the average yearly pay for program manager artificial intelligence in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Program Manager in Artificial Intelligence, and why are they important?

To thrive as a Program Manager in Artificial Intelligence, you need a strong understanding of AI concepts, project management methodologies, and experience overseeing technical teams, often supported by a degree in computer science or engineering and certifications like PMP. Familiarity with AI development tools, cloud platforms (such as AWS, Azure, or Google Cloud), and agile project management systems is typically required. Exceptional communication, stakeholder management, and problem-solving skills help you align cross-functional teams and drive projects to successful completion. These skills and qualities are crucial for delivering complex AI initiatives on time, within budget, and in alignment with organizational objectives.

How does a Program Manager in Artificial Intelligence typically collaborate with data scientists and engineers on complex projects?

A Program Manager in AI acts as a crucial bridge between stakeholders, data scientists, and engineers to ensure projects align with business goals and technical feasibility. They coordinate regular meetings, facilitate clear communication of requirements, and help resolve blockers that arise during development. By translating business objectives into actionable tasks, they enable cross-functional teams to stay aligned and deliver results efficiently. Additionally, they often oversee timelines, resource allocation, and risk management to keep AI initiatives on track.

What are Program Managers in Artificial Intelligence?

Program Managers in Artificial Intelligence (AI) are professionals who oversee and coordinate AI projects and initiatives within an organization. They work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that AI programs are delivered on time, within budget, and meet strategic goals. Their responsibilities typically include project planning, resource allocation, risk management, and communicating progress to leadership. Program Managers in AI also help bridge the gap between technical teams and business objectives, ensuring that AI solutions align with organizational priorities.
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What cities are hiring for Program Manager Artificial Intelligence jobs? Cities with the most Program Manager Artificial Intelligence job openings:
What states have the most Program Manager Artificial Intelligence jobs? States with the most job openings for Program Manager Artificial Intelligence jobs include:
Infographic showing various Program Manager Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.
Senior Manager, Artificial Intelligence Program

Senior Manager, Artificial Intelligence Program

Noble Corporation

Houston, TX โ€ข On-site

$110K - $111K/yr

Full-time

Posted 21 days ago


Job description

Job Summary:
Noble Corporation is seeking a Senior Manager for their Artificial Intelligence Program, who will oversee the enterprise AI portfolio within the Information Technology organization. This role is responsible for developing AI strategies, managing projects, and ensuring AI initiatives generate measurable value while adhering to governance and risk management protocols.
Responsibilities:
โ€ข AI Strategy & Roadmap: Develop and maintain an AI strategy aligned with Noble's corporate objectives. Collaborate with Operations, Engineering, Finance, and HSE stakeholders to support and prioritize high-value AI use cases as aligned with the PMO for Technology Digital Transformation.
โ€ข Portfolio Governance: Maintain a centralized inventory of all AI projects, tools, and vendors. Manage the intake, evaluation, and approval process to eliminate shadow AI and prevent redundant vendor spend.
โ€ข Project Execution: Lead or co-lead delivery of approved AI initiatives from proof-of-concept through production deployment, managing timelines, budgets, and cross-functional teams in partnership with the IT PMO and Digital Transformation PMO.
โ€ข Vendor & Partner Management: Own relationships with AI technology vendors; coordinate with existing IT contracts and Category Management; evaluate emerging technologies relevant to the offshore drilling sector. Collaborate with EA, Data & Analytics, IT Ops, and Security teams.
โ€ข Data Governance & Security: Partner with Data, Cybersecurity, and Legal teams to ensure AI initiatives meet Noble's data classification, privacy, and regulatory requirements.
โ€ข Change Management & Training: Drive AI literacy and adoption across the organization. Develop change management plans for new AI tools and workflows in alignment with the Company Initiatives.
โ€ข Performance Measurement: Define and report KPIs for AI initiatives, demonstrating business value and informing prioritization decisions for the AI portfolio. Present insights to IT leadership and the CIO.
โ€ข AI Governance & Risk: Chair or co-chair the AI Governance working group. Establish guardrails, ethical guidelines, and risk frameworks to ensure responsible AI deployment across the enterprise.
โ€ข IT Demand Relief: Serve as the primary intake and triage point for all AI-related requests, significantly reducing the burden on core IT engineering resources.
โ€ข Stakeholder Communication: Prepare executive-level briefings, board presentations, and business cases to communicate AI portfolio status, risks, and opportunities to senior leadership.
Qualifications:
Required:
โ€ข 8+ years of experience in IT program/project management, with at least 3 years focused on AI, machine learning, or advanced analytics initiatives.
โ€ข Demonstrated ability to manage complex, cross-functional technology programs from conception to production in an enterprise environment.
โ€ข Strong understanding of AI/ML concepts, large language models (LLMs), generative AI, and data science workflows.
โ€ข Experience with AI governance frameworks, responsible AI practices, and enterprise data privacy requirements.
โ€ข Proven track record in vendor management, contract negotiation, and technology evaluation.
โ€ข Exceptional stakeholder management, executive communication, and business-case development skills.
โ€ข Ability to translate technical AI concepts into business value for non-technical audiences.
โ€ข Experience working within or alongside an IT PMO and familiarity with project management methodologies (Agile, Waterfall, hybrid).
โ€ข Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field.
โ€ข PMP or equivalent project management certification.
Preferred:
โ€ข Experience in the energy, oil & gas, or offshore drilling industry.
โ€ข Familiarity with enterprise platforms such as IFS, OneStream, or similar ERP/EPM systems.
โ€ข Knowledge of Microsoft AI ecosystem (Azure OpenAI, Copilot, Foundry, Power Platform, Fabric).
โ€ข Experience with data governance platforms and MDM (Master Data Management) initiatives.
โ€ข AI-related certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft AI-900/AI-102).
โ€ข Experience leading organizational change management and AI literacy programs.
Company:
Noble is a leading offshore drilling contractor for the oil and gas industry. Founded in 1921, the company is headquartered in London, GBR, with a team of 5001-10000 employees. The company is currently Late Stage.