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Engineering Manager Transformer Jobs in Rochester, MI

... transforms manual manufacturing processes for companies worldwide. The projected step-by-step work ... Application Engineering Manager Schedule Type * On-site Job Summary * Describe the role and team ...

Working closely with Engineering, Manufacturing, Quality, and Project Management, you will transform customer requirements into practical, production-ready solutions. Reports To: Engineering Manager ...

They play a crucial role in transforming raw data into actionable insights, enabling informed ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

... transforms manual manufacturing processes for companies worldwide. The projected step-by-step work ... Reports to Applications Engineering Manager Schedule Type Full-time, Salary, Exempt, Hybrid Job ...

Transforming the Future with the Convergence of Simulation and Data Systems Engineer - HPC Do you ... for reliability engineering, root cause analysis and escalation management for all the HPC ...

Serving as the execution layer of Enterprise Architecture's AI strategy, this role transforms ... Engineering Scalable Reference Implementations * AI Security & Defensive Engineering

... on engineering. Serving as the execution layer of Enterprise Architecture's AI strategy, this role transforms conceptual patterns into validated, repeatable implementation blueprints. You are a ...

... 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 ...

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

... 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 ...

Technical Project Manager

Troy, MI · On-site

$90 - $130/hr

... transform businesses. We specialize in delivering projects across various domains, including full ... Qualifications * 5+ years of combined experience in technical project management, engineering ...

We transform engineering teams, modernize technology, and deliver complex programs with a product ... project manager which should include structured planning, reporting, and risk management ...

Showing results 21-40

Engineering Manager Transformer information

See Rochester, MI salary details

$42.8K

$135.2K

$160.2K

How much do engineering manager transformer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for engineering manager transformer in Rochester, MI is $135,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $159,200.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an engineering manager transformer?

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 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 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 popular job titles related to Engineering Manager Transformer jobs in Rochester, MI?

For Engineering Manager Transformer jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Engineering Manager Transformer jobs in Rochester, MI look for?

The top searched job categories for Engineering Manager Transformer jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Engineering Manager Transformer jobs?

Cities near Rochester, MI with the most Engineering Manager Transformer job openings:

Infographic showing various Engineering Manager Transformer job openings in Rochester, MI as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $135,185 per year, or $65 per hour.

Full-time

Re-posted 10 days ago


Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
We are looking for a Data Platform Manager to lead the development, operation, and continuous improvement of our enterprise Data & Analytics platform. This role is responsible for enabling data product teams, analysts, engineers, and business users to deliver high-quality data and analytics solutions efficiently, securely, and at scale.
You will manage the platform capabilities, tooling, standards, and operating model that support modern data delivery, including cloud data platforms, data engineering environments, analytics workspaces, CI/CD, automated testing, monitoring, governance, and self-service capabilities.
The role combines a strong technical understanding of modern data platforms with leadership, stakeholder management, product-oriented thinking, and the ability to manage a team of up to 5 platform engineers.
What You Will Do
  • Own the roadmap for the enterprise Data & Analytics platform, ensuring alignment with business priorities, data strategy, architecture standards, and security requirements.
  • Define and manage platform capabilities that enable data product teams to build, test, deploy, monitor, and operate data solutions efficiently.
  • Partner with data engineering, analytics, architecture, security, infrastructure, transformation and business teams to continuously improve the platform experience for developers as well as end users.
  • Act as the product owner or service owner for D&A platform services, balancing feature development, operational reliability, cost management, and user needs
  • Manage the D&A platform like a product-clear roadmap, backlog, users, and measurable outcomes; balance speed, stability, cost, and experience.
  • E2E Platform operations ownership - Manage incidents, changes, SLAs, and ensure reliability at scale.
  • Oversee platform support processes, incident management, service requests, change management, and operational monitoring.
  • Lead the development of automated provisioning capabilities for D&A workspaces, environments, data product teams, and project resources.
  • Apply a cost & value mindset to optimize Fabric capacity, Databricks usage, and overall platform cost vs. value.
  • Develop platform capabilities that help data engineering and analytics teams work more efficiently, including automated testing, CI/CD pipelines, deployment automation, code quality checks, and reusable templates.
  • Ensure the platform supports data governance, access control, privacy, security, lineage, metadata management, and compliance requirements.
  • Lead, coach, and develop a team of platform engineers, DevOps specialists, and support analysts, target users of the platform.

What You Need to Be Successful
  • 7+ years of experience in managing or leading Data & Analytics platforms, data engineering platforms, cloud platforms, or related technology services.
  • Strong understanding of modern data architecture, including data lakes, data warehouses, lakehouses, data pipelines, orchestration, and analytics tooling.
  • Experience with MS Azure / MS Fabric cloud platforms and services.
  • Experience with DevOps, DataOps, CI/CD (Azure DevOps / GitHub Actions), infrastructure-as-code, automated testing, deployment automation, and monitoring practices.
  • Familiarity with OneLake architecture, workspace topology, and capacity (F-SKU) planning, Data loading patterns and orchestration processes
  • Familiarity with data platform technologies such as Databricks, Snowflake, BigQuery, Synapse, Redshift, dbt, Airflow, Azure Data Factory, Kafka, or similar tools.
  • Understanding of data governance, security, access management, metadata, lineage, and compliance principles.
  • Strong stakeholder management, communication, prioritization, and problem-solving skills.
  • Experience working with agile delivery methods and product management practices.

Bonus Points if You Have
  • Previous experience as a Data Platform Manager, Analytics Platform Lead, Data Engineering Manager, DataOps Lead, Cloud Platform Manager, or similar role.
  • Experience implementing self-service platform capabilities for data teams.
  • Experience with workspace or environment provisioning, role-based access control, and cloud cost management.
  • Knowledge of software engineering best practices applied to data and analytics delivery.
  • Experience managing vendors, platform budgets, licenses, and service-level agreements.
  • Experience leading teams in a matrixed or enterprise environment.
  • Experience with Delta Lake with ACID transactions, Cluster management, job configuration, Spark tuning and Unity Catalog
  • Working understanding of Databricks Repos, Bundles, and asset deployment patterns
  • Familiarity of MLflow, Feature Store, and AutoML
  • Relevant certifications in cloud, data engineering, architecture, agile, or IT service management are a plus.

What Makes You Eligible
  • Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#LI-AA1
Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.