Job Description

Jr. Product Manager (Data)

Dearborn, MI (onsite)

$75,000+

Full-Time (40 hours/week)

Start Date: August 4th, 2025

**We are unable to provide sponsorship for this position**

As an entry-level Data Product Manager for this Fortune 500 automotive company, you will be helping to drive forward high priority initiatives for the organization responsible for all things data related. The data space is growing and evolving rapidly, and the need for technical leaders is evolving with it.

In addition to managing a variety of data product teams, you will receive paid online technical training and direct mentorship from Senior Data Product Managers to help grow your technical and leadership skills.

If you enjoy using your technical knowledge to solve complex problems and create innovative solutions, this could be the right role for you!

WHAT’S IN IT FOR YOU…?

• Through our Elevate program, you’ll be provided paid technical training through our online learning management system, customized to help you specialize in areas you’re passionate about.
• Opportunity to gain high visibility with upper management and learn from skilled senior engineers.
• Position yourself for future growth and leadership opportunities within the organization.
• Networking opportunities through Brooksource sponsored events like “Elevate Women” and manager-led Lunch & Learns
• Competitive benefits and tuition reimbursement after conversion.

MINIMUM QUALIFICATIONS

• Completed Bachelor’s degree in Computer Science, Engineering, Information Systems Management or a relevant technical field.
• Experience with various data types (structured, unstructured, real-time, batch).
• Familiarity with Agile principles and SDLC.
• Experience gathering requirements from stakeholders, customers, managers, etc.
• BONUS : Experience with data visualization and analytics tools; experience with cloud-based data platforms (AWS, Azure, GCP).

RESPONSIBILITIES

• Elicit and prioritize requirements from stakeholders across the organization, balancing business needs with technical feasibility and resource constraints. This includes actively engaging with data engineers, data scientists, and business users.
• Collaborate with engineering teams to design, develop, and launch new features and improvements to the data ingestion platform. This includes creating detailed product specifications, user stories, and acceptance criteria.
• Monitor platform performance, user adoption, and identify areas for improvement. This includes analyzing usage data, conducting user surveys, and gathering feedback.
• Effectively communicate product vision, strategy, and progress to stakeholders across the organization, including executive leadership, engineering, and business units.
• Regularly engage with users to understand their needs, pain points, and expectations. This includes conducting user interviews, surveys, and usability testing.

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