SR PROJECT MANAGER ENGINEER (On-Site - Middletown, PA)

TE Connectivity; Middletown Township (PA); On-site; USD 118,200 - 177,300; Full time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Job summary

TE Connectivity in Middletown, PA is seeking a SR Project Manager Engineer to manage AI/ML application development and product certification projects. The ideal candidate will oversee a diverse portfolio of initiatives while ensuring compliance and operational excellence.

With 3-5 years of project management experience in engineering and certifications like PMP or Scrum Master, you will facilitate impactful changes. A comprehensive benefits package, including health insurance and 401(k), is offered.

Qualifications

• 3-5 years of project management experience in engineering or technology.
• 2+ years managing AI/ML projects or data-driven technology initiatives.
• Proven experience with product certification processes.

Responsibilities

• Lead project management for AI/ML application development within CLS Business Unit.
• Facilitate product certification projects across various industry standards.
• Drive corporate-driven strategic engineering initiatives.

Skills

Project management

AI/ML application management

Regulatory compliance

Change management

Technical knowledge of engineering processes

Education

Bachelor’s degree in engineering or Computer Science

Tools

Project Management Professional (PMP)

Scrum Master Certification

Job description

SR PROJECT MANAGER ENGINEER (On-Site - Middletown, PA)

Job Overview

We are seeking an experienced Project Manager to lead and manage a diverse portfolio of critical initiatives within the Connected Living Solutions (CLS) Business Unit. This strategic role encompasses three key areas: (1) managing AI/ML application development and deployment, (2) coordinating product certification programs and supporting technical leaders in improving relationships with external certification agencies, and (3) driving corporate-driven and BU independent special engineering initiatives. The ideal candidate will serve as a bridge between technical teams, business stakeholders, and external partners, delivering high-impact solutions that advance our engineering capabilities, ensure regulatory compliance, and drive organizational excellence. This role requires a dynamic leader who can balance innovation, compliance, and operational improvement while managing change across the organization.

Key Responsibilities

AI Application Portfolio Management (40%)

• Lead end-to-end project management for AI/ML application development, deployment, and maintenance within CLS BU
• Develop and maintain comprehensive roadmaps for AI initiatives aligned with business objectives and engineering priorities
• Coordinate with data scientists, software engineers, and domain experts to define project scope, requirements, and success criteria
• Develop simple no‑code or low‑code AI solutions and LLM agent tools to address engineering workflows and automation needs
• Monitor AI application performance metrics and drive continuous improvement initiatives
• Manage resource allocation, budgets, and timelines across multiple concurrent AI projects
• Facilitate stakeholder engagement and communicate project status, risks, and outcomes to leadership

Product Certification Project Management (30%)

• Facilitate product certification projects across various industry standards (UL, CSA, VDE, etc.), coordinating between internal & external teams to drive for on‑time and on‑cost product certifications
• Coordinate and support CLS BU certification technical leaders in driving process improvements and strengthening relationships with external certification agencies

Special Engineering Initiatives (30%)

• Lead corporate-driven and BU independent strategic engineering initiatives and improvement projects within the CLS engineering organization
• Manage change management processes for new tools, methodologies, or process improvements
• Coordinate innovation pilots, proof‑of‑concept projects, and retrospectives
• Drive adoption of best practices in project management and engineering processes

Job Requirements

• Evaluating project engineering designs and tracking project completion within budget and scheduling constraints.
• Reviewing reports of production, malfunction, and maintenance to determine or address execution problems.
• Participating in the development of project schedules, work plans, technical estimates, and design documents.
• Monitoring project health, safety and integrity through compliance with regulatory standards and best practices.

Required Qualifications

• Education: Bachelor’s degree in engineering, Computer Science, or related technical field
• Experience:
• 3–5 years of project management experience in engineering or technology environments
• 2+ years managing AI/ML projects or data‑driven technology initiatives
• Proven experience with product certification processes (UL, CSA, IEC, or similar)
• Demonstrated experience in change management, including planning, execution, and adoption of organizational changes
• Certifications: PMP, PMI‑ACP, Scrum Master, or equivalent project management certification
• Technical Knowledge:
• Understanding of AI/ML concepts, applications, and deployment methodologies
• Familiarity with product compliance and certification requirements
• Knowledge of engineering development processes and product lifecycle management

Preferred Qualifications

• Experience in the connector, sensor, or electronics manufacturing industry
• Certification in Lean Six Sigma, PROSCI, ADKAR, or other formal change management methodologies
• Understanding of GenAI applications and LLM integration in enterprise environments
• Ability to develop simple no‑code/low‑code solutions or work with LLM agent platforms
• Previous experience working with certification agencies (UL, TÜV, CSA, etc.) to drive process improvements

Compensation

• Competitive base salary commensurate with experience: $118,200 – $177,300 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits

Benefits

• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

Equal Opportunity Employer

EOE, Including Disability/Vets