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Data Platform Product Manager Jobs in Michigan (NOW HIRING)

The Manager of Data Platform Administration plans, directs, and evaluates the work of Data Platform ... Advanced expertise in database design, development, testing and maintenance for production ready ...

It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in ... These technologies empower customers to build, deploy, and manage database and analytics ...

... data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 ... The Product Management team is looking for aProduct Manager to lead the roadmap and success of ...

Engineering Product Manager

Ann Arbor, MI · On-site

$163K - $169K/yr

... data platforms, cloud infrastructure, SaaS platforms, observability, security analytics, stream processing, data integration, or enterprise data management. * Experience owning product strategy ...

We are seeking a Product Manager to lead the strategy and execution for one or more of ArcSite ... Familiarity with modern data platforms and APIs * Background in vertical SaaS or industry-specific ...

Data Warehouse Architect

Lansing, MI · On-site

$80 - $100/hr

... manage remediation efforts to maintain architectural integrity. · Lead the modernization of ... data platforms, pipelines, and analytical products. · Collaborate with engineering, analytics ...

We deliver the platforms, integrations, and data capabilities that enable engineering teams to ... We are seeking an experienced IT Product Manager to lead the strategy, roadmap, and delivery of ...

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Data Platform Product Manager information

See Michigan salary details

$44.9K

$138.9K

$171.7K

How much do data platform product manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data platform product manager in Michigan is $138,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $171,700.00 per year, depending on experience, location, and employer.

What is a data platform product manager?

A Data Platform Product Manager is responsible for overseeing the development, management, and strategy of an organization’s data platform. They work closely with engineering, data science, and business teams to ensure the platform meets stakeholder needs, supports data-driven decision-making, and aligns with the company's objectives. Their duties typically include defining product requirements, prioritizing features, facilitating communication across teams, and monitoring platform performance and adoption.

How does a data platform product manager typically collaborate with engineering and data teams to deliver platform features?

A Data Platform Product Manager regularly works alongside engineering and data teams by defining product requirements, prioritizing the feature backlog, and ensuring alignment with business goals. They facilitate communication among stakeholders, translate complex technical needs into actionable tasks, and help resolve roadblocks that may arise during development. This collaborative approach ensures the platform evolves to meet both user expectations and technical constraints, fostering a shared sense of ownership and delivering robust, scalable solutions.

What are the key skills and qualifications needed to thrive as a data platform product manager, and why are they important?

To thrive as a Data Platform Product Manager, you need a strong understanding of data architecture, product management principles, and analytics, often supported by a degree in computer science, engineering, or a related field. Familiarity with data warehousing technologies, cloud platforms (such as AWS, Azure, or GCP), and tools like SQL, Tableau, or Snowflake is typically required, and certifications in Agile or Scrum can be beneficial. Outstanding communication, stakeholder management, and strategic thinking are crucial soft skills that help bridge technical and business teams. These skills ensure successful product delivery, alignment with business goals, and the creation of scalable, effective data solutions.

What is the difference between Data Platform Product Manager vs Data Engineer?

AspectData Platform Product ManagerData Engineer
Primary FocusProduct strategy, roadmap, and stakeholder alignment for data platformsBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsProduct management, data domain knowledge, communication skillsProgramming, database management, ETL processes
Work EnvironmentCross-functional teams, product lifecycle managementData engineering teams, technical infrastructure
Common CertificationsCertified Scrum Product Owner, data management certificationsApache Spark, cloud platform certifications, SQL expertise

The Data Platform Product Manager focuses on defining the vision and strategy for data platforms, coordinating between stakeholders and engineering teams. In contrast, Data Engineers are responsible for implementing and maintaining the technical infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Platform Product Manager jobs in Michigan?

For Data Platform Product Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Platform Product Manager jobs in Michigan look for?

The top searched job categories for Data Platform Product Manager jobs in Michigan are:

What cities in Michigan are hiring for Data Platform Product Manager jobs?

Cities in Michigan with the most Data Platform Product Manager job openings:

ADAS Data Platform Supervisor

Ford Motor Company

Dearborn, MI • Hybrid

$129K - $244K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 25 days ago


Key responsibilities

  • Lead, mentor, and grow a team of five full stack software engineers.

  • Take full ownership of the in-house visualization stack, including developing custom JavaScript extensions for complex 3D data.

  • Oversee the development of web applications used by data analysts to annotate vehicle events and ensure seamless integration between backend and frontend interfaces.


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

In this position... 

Ford's ADAS team is pushing the boundaries of what's possible in semi-autonomous driving, developing industry-leading technologies like BlueCruise and Pre-Collision Assist. To support these features, we need robust, high-performance web applications and data services that allow our engineers and analysts to visualize, annotate, and interpret massive amounts of vehicle data.

We are seeking an Engineering Supervisor to lead a team engineers responsible for our internal full stack ecosystem. You will oversee the development of our specialized visualization tools and data annotation platforms that fuel our analytics engine. The ideal candidate is a systems-thinker who understands how to build scalable cloud infrastructure while optimizing for the unique challenges of streaming large-scale robotics data.

You'll have...

Bachelor's Degree in Electrical Engineering, Computer Science, or a related field

Deep expertise in Node.js and React frameworks.

Experience with Foxglove Studio or similar robotics visualization platforms (e.g., Webviz, RViz).

A strong understanding of server-client architecture

Proven experience deploying and managing full stack applications on private/public cloud

Proficiency handling large-scale multimodal data formats (mcap, rosbag).

A proven track record of mentoring junior engineers and providing effective leadership and technical vision for senior engineers.

The ability to distill high-level requirements and granular software implementation.

Even better, you may have...

Experience in the automotive or robotics industry.

Familiarity with ADAS concepts (perception, mapping, localization, path planning).

Experience building tools specifically for machine learning data pipelines.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

Vehicle discount program for employees and family members and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service 

A generous schedule of paid holidays, including the week between Christmas and New Year's Day 

Paid time off and the option to purchase additional vacation time. 

This position is leadership level 6 and ranges from $129,600-244,680.

For more information on salary and benefits, click here: https://fordcareers.co/LL6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-RR1

What you'll do...

Lead, mentor, and grow a team of five full stack software engineers. You will be responsible for the career growth of junior developers and the strategic direction of senior individual contributors.

Take full ownership of our in-house visualization stack. This includes developing custom JavaScript extensions to overlay complex 3D data, such as integrating satellite imagery and map tiles with real-time vehicle perception data.

Oversee the development of web applications used by data analysts to annotate vehicle events. Ensure seamless integration between backend and frontend interfaces, managing the lifecycle of data from mcap files to ML training sets via automated workflows.

Own and maintain the backend multimodal file server. You will ensure the reliable streaming of data from our on-prem data centers to browser-based clients, optimizing for low latency and high concurrency.

Apply rigorous systems thinking to the software lifecycle. You will decompose complex implementation requirements from a clear Concept of Operations (ConOps) and ensure all features are validated against real-world ADAS needs.

Prioritize and enforce high standards for technical documentation to ensure the long-term maintainability of our tools.


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