Technical Program Manager

Company Information

PACCAR is a Fortune 500 company established in 1905.PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced powertrains, provides financial services and information technology, and distributes truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services - you can develop the career you desire with PACCAR. Get started!

Organization Information

PACCAR Powertrain is the newest business unit within PACCAR, dedicated to delivering advanced powertrain solutions for Kenworth, Peterbilt, and DAF trucks. This includes the development of sophisticated heavy-duty engine technologies, along with essential support functions such as testing, validation, and aftersales service. As part of this team, you will collaborate with a global, cross-functional group focused on engineering innovative solutions that enhance customer uptime and drive operational efficiency.

Our success is driven by individuals who are passionate about technology, thrive in collaborative environments, and bring a proactive, solution-oriented mindset. We value team members who are curious, adaptable, and committed to continuous improvement, who take ownership, communicate effectively across disciplines, and are motivated by the challenge of delivering industry-leading performance and reliability.

Technical Program Manager - Advanced Analytics

Position Summary

PACCAR Global Powertrain Advanced Analytics is seeking a highly motivated Technical Program Manager with a background in engineering and a passion for leveraging data-driven insights to improve product performance and business outcomes. This role bridges engineering, AI and program management, driving the successful deployment of AI solutions across the organization. The ideal candidate combines strong technical and analytical capabilities with program management skills. They are naturally self-directed, and comfortable working in a fast-paced environment where collaboration, problem-solving, and effective communication are critical to success.

Responsibilities

• Lead cross-functional programs supporting advanced analytics and predictive modeling initiatives within the Global Powertrain organization.

• Partner with Engineering, Data Engineers, Data Scientists, and Subject Matter Experts to onboard new components and systems for predictions. Coordinate project activities and stakeholders to ensure the successful deployment of predictive solutions to end users.
• Define, monitor, and evaluate key performance indicators (KPIs) to measure program effectiveness and business impact.
• Drive program planning, prioritization, risk management, and execution across multiple concurrent initiatives.
• Develop and maintain dashboards, reports, and visualizations that support data-driven decision-making.

• Translate technical concepts, analytical findings, and model outputs into clear and compelling presentations for business and engineering stakeholders.

• Identify process improvement opportunities and champion best practices in analytics program management.

Required Qualifications

• Bachelor's degree in Engineering, Analytics, Statistics, Computer Science, Mathematics, or a related quantitative discipline.

• 7+ years of professional post-bachelor's experience, including program management, project management, engineering, analytics, or other related technical roles.

• Minimum of 2 years of engineering /automotive product development experience.

• Experience leading cross-functional technical projects from concept through implementation.

• Understanding of project and program management methodologies, including Agile, DevOps, and MLOps practices.
• Ability to effectively manage multiple priorities and deliver results in a dynamic, fast-paced environment.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written, verbal, and presentation communication skills.
• Demonstrated ability to collaborate and influence across diverse technical and non-technical teams.
• Self-motivated with a proactive approach to identifying and resolving issues.
• Strong organizational skills and attention to detail.
• Positive, customer-focused, and results-oriented mindset.

Preferred Qualifications

• Master's degree in Engineering, Data Science, Analytics, Business, or a related field.
• Experience working with diesel engine systems, powertrain technologies, or related heavy-duty vehicle applications.
• Knowledge of diesel engine systems and their operation.

• Experience supporting predictive analytics, machine learning, or data science initiatives.

• Knowledge of emissions regulations and compliance requirements within the commercial vehicle industry.

• Experience working within automotive, commercial vehicle, or powertrain engineering environments.

Why work for PACCAR?

• Global Fortune 500 company with a wide array of growth and development opportunities.
• Work in an established engineering organization where work/life balance is valued.
• Work alongside experienced goal-oriented colleagues recognized as experts in their fields.
• Support and/or design the commercial vehicles of the future with a focus on emerging technologies such as electric drive systems, ADAS, and fully autonomous driving.
• Medical, dental, and vision insurance plans for you and your family.
• Paid Time Off - vacation, paid holidays, and sick leave.
• 401k with company match, AND a company-paid pension plan after 5 years.
• Tuition reimbursement for continued education - eligible after 1 year of service

Additional Job Board Information

PACCAR promotes equal employment opportunities by implementing policies and practices that ensure employees and applicants are not discriminated against because of their race, color, religious creed, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, mental or physical disability, medical condition, genetic information, military or veteran status or other legally protected status. This applies to recruitment, selection, placement, promotion, termination, rates of pay, and other conditions of employment.