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Product Manager – Automation, Workflows

Job in Dearborn, Platte County, Missouri, 64439, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems/ Tech Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager – Automation, Intelligent Workflows
Location: Dearborn

  • Own the product discipline around Ford Credit’s automation program.
  • Act as the "connective tissue" between the business stakeholders who originate demand and the engineering teams that deliver technical solutions.
  • Shape what gets built, what gets retired, and how value is measured and reported across the enterprise.
  • Focus on business value, ROI, user experience, and strategic road mapping.
  • Work closely with highly technical teams to orchestrate high-impact, scalable AI and automation solutions.
Requirements
  • 5+ years of experience in business/product analysis, product management, or a similar analytical, stakeholder-facing role.
  • Proven experience modernizing legacy operations using RPA, workflow orchestration, OCR, or intelligent document processing.
  • Background in Fintech, lending, originations, or financial services (highly preferred).
  • Demonstrated ability to write business cases, model ROI, and manage backlog prioritization from intake to delivery.
  • Strong conceptual understanding of AI/ML models (including supervised/unsupervised learning and LLMs) and their application in intelligent workflows.
  • Deep technical fluency in RPA and automation tools, with the ability to translate operational pain points into well-scoped technical solutions.
  • Strong "product thinking" skills to connect localized operational problems to scalable, platform-oriented solutions.
  • Exceptional ability to translate complex technical concepts and data metrics into clear, executive-level business narratives.
  • Proven leadership in building trust and driving alignment across cross-functional teams, including engineering, data science, legal, and compliance.
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