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AI Product Designer

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Lincoln Motor Company
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Product Designer, AI Business & Operations, UI/UX Design
Salary/Wage Range or Industry Benchmark: 100000 - 193000 USD Yearly USD 100000.00 193000.00 YEAR
Job Description & How to Apply Below

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

Ford Motor Company's Global Data Insights & Analytics (GDI&A) department crafts innovative services to prepare smart vehicles for a smart world. Here in the data science division, we apply user experience principles to ensure our methods serve our end users. We are an advanced team operating at the forefront of artificial intelligence, designing not just interfaces, but intelligent systems, agentic workflows, and dynamic data experiences.

Our product designers oversee a portfolio of product teams, identifying patterns and use cases across the portfolio to better serve their end users. They apply a design thinking mindset, user research skills, and business strategy to align teams around a human-centric roadmap.

In this position...

For this role, we are looking for a highly technical designer to define and execute the future of our AI-driven Insight and Analytics products. You will collaborate closely with product managers, data scientists, AI engineers, and fellow designers. A hybrid skillset encompassing end-to-end product design, stakeholder management, compelling multimedia storytelling, and a technical AI toolkit is essential to success.

Research chops, strong leadership skills, and diversity of experience are all a plus!

Based in Dearborn, MI, this is a hybrid position with a required four-day or more onsite presence each week. Relocation assistance may be available for qualified candidates.

What you'll do...

  • Design Strategy and Execution
    :
    Translate complex product requirements into intuitive product and service experiences for a suite of advanced analytics and AI-driven products. Collaborate with Product Managers to shape the roadmap, manage the design backlog, contribute UX and service design requirements to PRDs, and identify cross-team patterns, dependencies, handoffs, and failure points that should inform scalable product decisions.
  • User Discovery & Empathy
    :
    Champion the user’s perspective throughout the product lifecycle. Conduct hands‑on generative and evaluative research (contextual inquiry, user interviews, usability testing) to identify friction points in complex data workflows and translate those needs into intuitive AI features.
  • End-to-end Product and Service Design
    :
    Transform user research into actionable artifacts, including journey maps, service blueprints, personas, ecosystem maps, and current-state and future-state workflows. Craft elegant, user-centric flows and high‑fidelity interactive prototypes tailored for data-rich, AI-native environments, while connecting digital touchpoints, handoffs, people, processes, policies, and backend systems into cohesive product and service experiences.
  • AI-native design and technical collaboration
    :
    Utilize a working knowledge of Python, AI agents, and modern LLM frameworks to design and prototype agent‑enabled workflows that support recommendations, automation, model outputs, feedback loops, confidence indicators, approvals, exception handling, and human oversight. Partner…
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