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Ai Program Manager Jobs in Reading, PA (NOW HIRING)

Penske

Manager, Corporate Human Resources

Reading, PA · Hybrid

Monitor program effectiveness and recommend improvements based on feedback and outcomes. Compliance ... AI literacy and comfort leveraging technology to drive insights and decision-making Ability to ...

Penske

Manager, Corporate Human Resources

Reading, PA · Hybrid

Monitor program effectiveness and recommend improvements based on feedback and outcomes. Compliance ... AI literacy and comfort leveraging technology to drive insights and decision-making Ability to ...

Penske

Manager, Corporate Human Resources

Reading, PA · On-site

... Programs & Initiatives • Execute and support enterprise-wide HR programs and initiatives ... AI literacy and comfort leveraging technology to drive insights and decision-making • Ability to ...

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All JobsAi Program JobsAi Program Manager JobsAi Program Manager Jobs in Reading, PA

Ai Program Manager information

See Reading, PA salary details

$37K

$103.2K

$150.8K

How much do ai program manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai program manager in Reading, PA is $103,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $127,200.00 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.

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Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Reading, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $103,199 per year, or $49.6 per hour.

Maintenance Area Manager - Reliability Excellence

Carpenter Technology Corporation

Reading, PA

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Carpenter Technology rating

6.8

Company rating: 6.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Carpenter Technology Corporation is a leading producer and distributor of premium specialty alloys, including titanium alloys, nickel and cobalt based superalloys, stainless steels, alloy steels and tool steels. Carpenter's high-performance materials and advanced process solutions are an integral part of critical applications used within the aerospace, transportation, medical and energy markets, among other markets. Building on its history of innovation, Carpenter's wrought and powder technology capabilities support a range of next-generation products and manufacturing techniques, including novel magnetic materials and additive manufacturing.

RELIABILITY EXCELLENCE AREA MANAGER - MAINTENANCE

The Reliability Excellence Area Manager leads the Reliability and Automation Team, overseeing Reliability Engineers, Automation Technicians, Reliability Technicians, and other technical roles. This position is responsible for developing and implementing strategies to improve asset reliability, minimize downtime, and optimize maintenance practices. The manager ensures alignment with business goals, long-term performance and continuous improvement across all equipment and systems.

THE RELIABILITY EXCELLENCE AREA MANAGER WILL . . .

  • Lead, mentor, and develop a team of Reliability Engineers, Reliability Technicians, Automation technicians, and technical staff.

  • Establish automation center of excellence (CoE) to streamline automation output, provide structure, and help scale automation throughout SAO with emphasis on Defect Elimination, Obsolescence Management, and Training and Development.

  • Partner with Digital Team to lead the implementation of Generative AI and Machine Learning Technology in support of Carpenter Digital and Automation Transformation.

  • Lead predictive technologies and reliability data analysis to assist in root cause analysis, change management review, and corrective action plan development and execution.

  • Lead implementation of reliability centered maintenance strategies and approaches to maximize equipment reliability and increase maintenance efficiency.

  • Identify opportunities for improving asset management practice, ensuring consistency in processes and practices, and alignment with the team strategies and priorities.

  • Lead the Defect Elimination program through the management of bad actor assets and the application of reliability excellence principles to identify and eliminate root cause.

  • Manage processes and procedures with regards to the governance of assets, asset master data, spare parts master data, and MRO inventory requirements.

  • Maintain the CMMS system and establish a strong training program to upskill existing users and quickly onboard new hires.

  • Monitor and report on Key Performance Indicators (KPIs) for maintenance activities.

  • Lead initiatives across multiple functions leading to organizational improvement, cultural change, and overall process improvements related to asset management and systems reliability.

  • Interface with relevant stakeholders to anticipate future needs of the reliability and automation program and support our growth.

  • Collaborate with Corporate Reliability Team to ensure alignment on corporate reliability initiatives.

  • Follows company safety and health guidelines and other company policies.

  • Performs other work as assigned by management.

REQUIREMENTS:

  • Bachelor's degree in electrical engineering.

  • Proven experience (5+ years) in Reliability or Maintenance Engineering role, leadership experience preferred.

  • Strong knowledge of reliability methodologies (RCM, FMEA, PdM, RCA).

  • Deep understanding and technical knowledge in Automation and Controls in an industrial setting.

  • Knowledgeable in the concept and workflow of Automation and Control systems (HMI, PLC, VFD).

  • Experience implementing and managing CMMS/EAM systems and condition monitoring technologies.

  • Demonstrated ability to lead cross-functional teams and drive change in an industrial environment.

  • Excellent analytical, communication, and leadership skills.

  • Certified Reliability Leader (CRL), CMRP, or equivalent certification preferred.

Carpenter Technology Company offers a competitive salary and a comprehensive benefits package including life, medical, dental, vision, flexible spending accounts, disability coverage, 401k with company contributions as well as many other options to employees.

Carpenter Technology Corporation's policy is to fully and effectively maintain a program of equal employment opportunity and nondiscrimination for all employees, to employ affirmative action for all protected classes, and to recruit and develop the best qualified persons available regardless of age, race, color, religion, sex, gender identity, sexual orientation, marital status, national origin, political affiliation or any other characteristic protected by law. The Company also will recruit, develop and provide opportunities for qualified persons with disabilities and protected veterans.

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