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Ai Program Manager Jobs in Pennsylvania (NOW HIRING)

This is not a traditional Program Management role. The ideal candidate must have recent (within the last two years) hands-on experience delivering AI, Machine Learning, or Generative AI programs ...

AI Program Manager

Philadelphia, PA · On-site +1

$90K - $130K/yr

The Role As an AI Program Manager, you'll work directly with our executive team to lead client engagements end-to-end, owning the strategy, adoption, and measurable impact of Melior's partnership ...

Program and Product Development - Work with the program manager andtech leadtoimprovelearning experiences, refine workflows, and contribute to the design, testing, and documentation of AI-related ...

Section 2: Job Functions, Essential Duties and Responsibilities Agentic AI Program Management and Delivery * Portfolio ownership and roadmap: Own an enterprise portfolio of agentic AI use cases ...

Senior Program Manager

Malvern, PA · On-site

$113K - $114K/yr

Senior Program/Project Manager Location: On-site presence required Tuesday-Thursday in Malvern, PA ... Exposure to AI-related programs or enterprise technology transformation initiatives. * Experience ...

Program Manager III

Pittsburgh, PA · On-site

$90K - $110K/yr

Role Overview The Senior Technical Project Manager/Program Manager is responsible for leading ... applications, data, AI, and automation that accelerate measurable, sustainable change. From ...

Develop and manage a faculty affiliates program that connects faculty expertise with student ... Support faculty grant submissions related to AI research, outreach, and education. * Establish ...

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Ai Program Manager information

See Pennsylvania salary details

$38.6K

$107.7K

$157.4K

How much do ai program manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ai program manager in Pennsylvania is $107,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $132,800.00 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 are popular job titles related to Ai Program Manager jobs in Pennsylvania?

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

What cities in Pennsylvania are hiring for Ai Program Manager jobs?

Cities in Pennsylvania with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $107,718 per year, or $51.8 per hour.

AI Program Manager

Philadelphia, PA • Hybrid

Meta Resources Group
IT Services • 51 - 200 employees

$85 - $90/hr

Full-time

Posted 27 days ago


Job description

This is a remote position.

Our client, a leading global Healthcare and Consulting organization, is seeking an experienced AI Delivery Program Manager to lead enterprise-scale Artificial Intelligence initiatives across global business functions. This is not a traditional Program Management role. The ideal candidate must have recent (within the last two years) hands-on experience delivering AI, Machine Learning, or Generative AI programs, with proven expertise managing AI work products through Agile delivery methodologies, AI Factory operating models, and Value Team delivery frameworks. The successful candidate will partner with business leaders, AI Engineering, Data Science, MLOps, Product, and Enterprise Architecture teams to successfully deliver AI initiatives from ideation through production deployment while ensuring measurable business value and governance throughout the delivery lifecycle.

This is a contractual role which will run through the end of 2026, with likelihood of extension into 2027.  
Responsibilities
  • Lead the end-to-end delivery of multiple AI, Machine Learning, and Generative AI programs across global business functions.
  • Drive AI initiatives from business intake through planning, delivery, deployment, production, and value realization.
  • Partner with Product Owners, AI Engineers, Data Scientists, MLOps teams, and business stakeholders to deliver scalable AI solutions.
  • Manage AI delivery roadmaps, dependencies, milestones, budgets, risks, and executive reporting across multiple concurrent initiatives.
  • Coordinate cross-functional teams spanning Business, Data Engineering, AI Engineering, Platform, Security, Governance, and Change Management.
  • Operate within Agile delivery methodologies including Scrum, SAFe, Kanban, and hybrid delivery models tailored for AI development.
  • Facilitate Agile ceremonies including Sprint Planning, Backlog Grooming, PI Planning, Reviews, Retrospectives, and Release Planning.
  • Manage AI-specific delivery backlogs including data readiness, feature engineering, model training, model validation, deployment readiness, and Responsible AI reviews.
  • Work within an enterprise AI Factory operating model, ensuring reusable assets, accelerators, governance frameworks, and shared AI platforms are leveraged effectively.
  • Drive AI Factory intake, prioritization, capacity planning, governance, and delivery throughput across multiple business initiatives.
  • Lead Value Teams focused on measurable business outcomes rather than traditional project milestones.
  • Champion Value-Based Delivery by aligning delivery priorities with defined business KPIs, measurable value hypotheses, ROI, and operational outcomes.
  • Monitor AI program health using delivery metrics including model cycle time, deployment velocity, adoption, business value realization, and delivery performance.
  • Manage AI delivery risks including data quality, model performance, governance, Responsible AI, regulatory compliance, and organizational readiness.
  • Support enterprise governance forums, AI steering committees, executive portfolio reviews, and business leadership reporting.
  • Coordinate User Acceptance Testing (UAT), production readiness, deployment planning, hypercare, and post-production stabilization.
  • Ensure AI initiatives comply with enterprise architecture standards, data governance policies, security requirements, and Responsible AI frameworks.
  • Build strong relationships with executive stakeholders while translating complex AI delivery concepts into business-focused outcomes.
  • Mentor delivery teams on Agile best practices specifically adapted to AI and Data Product delivery.


Requirements
  • 8+ years of Program or Project Management experience within enterprise technology organizations.
  • Minimum 2 years of recent (within the last 24 months) experience delivering AI, Machine Learning, or Generative AI programs.
  • Demonstrated experience managing enterprise AI delivery from concept through production deployment.
  • Proven experience delivering AI work products within Agile product delivery environments.
  • Strong understanding of AI/ML development lifecycle including:
    • Data Readiness
    • Feature Engineering
    • Model Development
    • Model Validation
    • Model Deployment
    • MLOps
    • Model Monitoring
    • Responsible AI
  • Hands-on experience operating within an AI Factory or similar centralized AI delivery model.
  • Experience leading Value Teams and delivering measurable business outcomes through Value-Based Delivery frameworks.
  • Strong understanding of Agile methodologies including Scrum, SAFe, Kanban, and Hybrid delivery.
  • Experience coordinating cross-functional teams including Product, Engineering, AI, Data Science, Security, Business, and Governance functions.
  • Experience managing enterprise portfolios, risks, dependencies, executive reporting, and delivery governance.
  • Strong stakeholder management and executive communication skills.
  • Experience supporting enterprise AI governance, Responsible AI practices, and compliance initiatives.
  • Ability to manage multiple concurrent AI programs within fast-paced enterprise environments.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Data Science, or a related discipline.
Preferred Qualifications
  • Healthcare, Pharma, or Life Sciences industry experience.
  • Experience delivering Generative AI (GenAI) initiatives.
  • Familiarity with Azure AI, Azure OpenAI, AWS SageMaker, Google Vertex AI, or similar enterprise AI platforms.
  • Experience with MLOps platforms and AI deployment pipelines.
  • Exposure to Data Mesh, Modern Data Platforms, or AI Platform Engineering.
  • PMP, SAFe, Scrum Master, Agile, or Product Management certifications.
  • Experience working with Responsible AI frameworks and AI governance boards.
  • Executive stakeholder engagement within global transformation programmes.