Senior Process Designer for AI & Process Mining

Careermine

Novi (MI)

Hybrid

USD 125,000 - 184,000

Full time

14 days+
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Benefits offered by this job

Employee discounts
Training opportunities
Wellness benefits
Tuition reimbursement
"Be Brilliant" program
Inclusive environment

Job summary

HARMAN Automotive is seeking a senior process specialist in Novi, MI to bridge business reality and AI delivery. You will map AS-IS processes, capture workarounds, and redesign TO-BE workflows that AI engineers and AX teams can implement.

You will lead workshops across product engineering, supply chain, finance, and operations; define KPIs, ownership, and governance; and translate redesigned processes into actionable requirements for AI programs and data teams.

Qualifications

  • Typically 8+ years in process improvement, lean operations, or related fields in the automotive industry.
  • Strong problem-solving to convert ambiguity into actionable actions.
  • Ability to map AS-IS and TO-BE processes with clear ownership and KPIs.
  • Excellent written communication for structured documentation.

Responsibilities

  • Lead discovery workshops and stakeholder interviews across enterprise functions.
  • Map AS-IS processes, decision points, and data handoffs down to task level.
  • Capture informal work outside ERP/CRM and use process mining where available.
  • Define problem statements, target outcomes, and measurable KPIs.
  • Design TO-BE processes clarifying human vs AI roles and controls.
  • Translate redesigned processes into actionable requirements for AI teams.

Skills

Process improvement
Lean operations
Business transformation
Product ownership
Agile delivery
Facilitation
AI literacy
Documentation

Job description

HARMAN Automotive is seeking a senior process specialist in Novi, MI to bridge business reality and AI delivery. You will map AS-IS processes, capture workarounds, and redesign TO-BE workflows that AI engineers and AX teams can implement.

You will lead workshops across product engineering, supply chain, finance, and operations; define KPIs, ownership, and governance; and translate redesigned processes into actionable requirements for AI programs and data teams.

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