ZipRecruiter

Log In

1

Group Program Manager Jobs in Springfield, PA (NOW HIRING)

Meta Resources Group

AI Program Manager

Philadelphia, PA · Hybrid

$85 - $90/hr

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 ...

MSCCN

Program Manager II - Glenolden PA

Glenolden, PA · On-site

$113K - $165K/yr

The Program Manager is responsible for the successful execution of the NPD Program(s) and projects ... Provide updates to the business units as well as divisional, and group levels. • Play a key role ...

previous pagenext page

Showing results 21-40

All JobsGroup Program JobsGroup Program Manager JobsGroup Program Manager Jobs in Springfield, PA

Group Program Manager information

See Springfield, PA salary details

$42.5K

$110.8K

How much do group program manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for group program manager in Springfield, PA is $107,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $109,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a group program manager?

To thrive as a Group Program Manager, you need strong leadership, project management expertise, and a background in business or technology, often supported by a bachelor's or master's degree. Familiarity with project management tools like Jira or Microsoft Project and certifications such as PMP or Agile/Scrum are typically required. Exceptional communication, strategic thinking, and the ability to motivate cross-functional teams are standout soft skills in this role. These skills ensure effective program delivery, stakeholder alignment, and the achievement of organizational goals in complex environments.

How does a group program manager balance strategic planning with day-to-day operational oversight?

A Group Program Manager typically oversees multiple projects or product lines, which requires balancing long-term strategic goals with the execution of daily operations. This involves setting high-level objectives, aligning cross-functional teams, and ensuring that individual project managers are supported in meeting their deliverables. Regular communication with stakeholders and team leads is essential to proactively address roadblocks and keep activities aligned with the organization’s vision. By delegating effectively and leveraging strong organizational skills, a Group Program Manager can maintain both a strategic perspective and hands-on involvement where needed.

What is the difference between Group Program Manager vs Program Manager?

AspectGroup Program ManagerProgram Manager
ResponsibilitiesOversees multiple projects or teams, aligns programs with strategic goals, manages senior stakeholdersManages individual projects, coordinates teams, ensures project delivery on time and within scope
Required SkillsLeadership, strategic planning, cross-team coordinationProject management, communication, problem-solving
Work EnvironmentSenior leadership, multiple teams, strategic focusProject teams, operational focus, tactical execution
Common UsageLarge organizations, multiple projects, strategic initiativesProject-focused roles, smaller teams, operational tasks

The main difference is that a Group Program Manager oversees multiple related projects and aligns them with strategic objectives, while a Program Manager focuses on managing individual projects to ensure successful delivery. The Group Program Manager typically operates at a higher strategic level, coordinating across teams and stakeholders, whereas the Program Manager handles day-to-day project execution.

What is a group program manager?

A group program manager is a senior leadership role responsible for overseeing multiple related projects or programs within an organization. They coordinate teams, set strategic goals, and ensure successful delivery by managing resources, timelines, and stakeholder communication. Strong leadership, project management skills, and familiarity with tools like Agile or Scrum are typically required.

What cities near Springfield, PA are hiring for Group Program Manager jobs?

Cities near Springfield, PA with the most Group Program Manager job openings:

Group Program Manager jobs near you
Infographic showing various Group Program Manager job openings in Springfield, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $107,721 per year, or $51.8 per hour.

AI Program Manager

Meta Resources Group

Philadelphia, PA • Hybrid

$85 - $90/hr

Full-time

Posted 16 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.