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Executive Program Manager Jobs in Pennsylvania (NOW HIRING)

Manage AI delivery roadmaps, dependencies, milestones, budgets, risks, and executive reporting ... Monitor AI program health using delivery metrics including model cycle time, deployment velocity ...

Program Manager

Coraopolis, PA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... CEO who doesn't know her people. She encourages employees to contact her if they ever want or need ... PROGRAM MANAGER JOB PURPOSE: Plan, direct, or coordinate transportation, storage, or distribution ...

Program Manager II- C&IB

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Program Manager II within PNC's Technology organization, you will be based in Pittsburgh, PA ... Establish and maintain executive-level reporting, strategic updates, and leadership materials to ...

Program Manager

Erie, PA · On-site

$125K/yr

Specialized experience would include one year of substantive supervisory or program management ... Experience preparing executive reports, briefing materials, written documentation, analytical ...

Ryan Markman, CEO - Former Bain consultant, experienced C-suite operator with a previous business ... The Role As an AI Program Manager, you\'ll work directly with our executive team to lead client ...

Program Manager

York, PA · On-site

$125K/yr

Specialized experience would include one year of substantive supervisory or program management ... Experience preparing executive reports, briefing materials, written documentation, analytical ...

Showing results 21-40

Executive Program Manager information

See Pennsylvania salary details

$38.6K

$107.7K

$157.4K

How much do executive program manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for executive 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 are the key skills and qualifications needed to thrive as an executive program manager, and why are they important?

To thrive as an Executive Program Manager, you need advanced project management expertise, strategic planning abilities, and a proven track record of leading complex, cross-functional initiatives—often supported by a bachelor's or master's degree and PMP or similar certification. Familiarity with program management tools like Microsoft Project, Jira, or Smartsheet, as well as experience with budgeting and performance tracking systems, is essential. Exceptional leadership, stakeholder management, and communication skills help you motivate teams and align diverse groups toward shared goals. These skills and qualities are vital to effectively deliver large-scale programs on time and within budget while driving organizational success.

How much does an executive program manager make?

An executive program manager typically earns between $100,000 and $180,000 annually, depending on experience, industry, and location. Senior roles with extensive leadership responsibilities and certifications like PMP or PgMP can command higher salaries. Compensation often includes bonuses and benefits aligned with organizational goals.

What does an executive program manager do?

An Executive Program Manager oversees the planning, execution, and delivery of large-scale programs within an organization. They coordinate multiple projects, manage cross-functional teams, and align program objectives with the company’s strategic goals. This role involves resource allocation, risk management, stakeholder communication, and ensuring all projects deliver value on time and within budget. Executive Program Managers often report to senior leadership and play a key role in driving organizational change and growth.

How does an executive program manager typically interact with cross-functional teams to drive large-scale initiatives?

Executive Program Managers play a pivotal role in aligning cross-functional teams, such as engineering, marketing, finance, and operations, to ensure the successful delivery of complex initiatives. They facilitate regular meetings, set clear expectations, and resolve interdepartmental challenges to keep projects on track. Additionally, they act as a central point of communication, ensuring that all stakeholders are informed and working towards shared goals. This role requires strong leadership, negotiation, and communication skills to navigate competing priorities and foster collaboration across diverse teams.

What are the most commonly searched types of Program Manager jobs in Pennsylvania?

The most popular types of Program Manager jobs in Pennsylvania are:

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

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

Infographic showing various Executive Program Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% 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

Meta Resources Group

Philadelphia, PA • Hybrid

$85 - $90/hr

Full-time

Posted 11 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.