1

Engineering Manager Transformer Jobs in Riverside, CA

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... They play a crucial role in transforming raw data into actionable insights, enabling informed ...

Reporting to the Electrical Engineering Assistant Manager the Lead Electrical Test Technician is ... Knowledge of power distribution, breakers, current and potential transformers, protection relays ...

Lead Electrical Test Technician

Fontana, CA · On-site

$29.86 - $41.06/hr

Reporting to the Electrical Engineering Assistant Manager the Lead Electrical Test Technician is ... Knowledge of power distribution, breakers, current and potential transformers, protection relays ...

Reporting to the Electrical Engineering Assistant Manager the Lead Electrical Test Technician is ... Knowledge of power distribution, breakers, current and potential transformers, protection relays ...

next page

Showing results 1-20

Engineering Manager Transformer information

See Riverside, CA salary details

$48.5K

$153.2K

$181.5K

How much do engineering manager transformer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for engineering manager transformer in Riverside, CA is $153,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $180,500.00 per year, depending on experience, location, and employer.

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are the key skills and qualifications needed to thrive as an Engineering Manager Transformer, and why are they important?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What is an Engineering Manager Transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are some typical challenges an Engineering Manager Transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.
What are popular job titles related to Engineering Manager Transformer jobs in Riverside, CA? For Engineering Manager Transformer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Engineering Manager Transformer jobs in Riverside, CA look for? The top searched job categories for Engineering Manager Transformer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Engineering Manager Transformer jobs? Cities near Riverside, CA with the most Engineering Manager Transformer job openings:
Infographic showing various Engineering Manager Transformer job openings in Riverside, CA as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $153,223 per year, or $73.7 per hour.
NGA AI Engineer Manager

NGA AI Engineer Manager

Pwc

Irvine, CA

$73K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative
AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop,
and coach teams while managing client service accounts, securing the delivery of quality results
that meet and exceed expectations. This role offers the chance to cultivate powerful client
relationships and drive continuous improvement initiatives, all while embracing technology and
innovation to enhance project delivery.
Responsibilities
- Manage client accounts and secure the delivery of exceptional results
- Foster sturdy relationships with clients to understand their needs
- Analyze complex data sets to derive actionable insights
- Confirm adherence to quality standards and established practices in deliverables
What You Must Have
- High School Diploma
- At least 4 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer
Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Demonstrating exceptional team leadership abilities
- Managing client service accounts to deliver exceptional outcomes
- Fostering a collaborative environment for innovation
- Analyzing complex data sets for actionable insights
- Implementing industry standards for project management
- Cultivating relationships with clients to understand needs
- Driving continuous improvement initiatives within teams
- Understanding production-grade quality gates and monitoring

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom