Business Process Analyst — Production Engineering Business Integration (senior or Lead)

Boeing Boeing · Aerospace · Everett, WA

This role focuses on improving business processes within Production Engineering by leveraging automation, AI/ML-enabled solutions, and data-driven methods. The Business Process Analyst will lead process discovery, redesign, and automation initiatives, develop business cases, and create documentation and training materials. The role also involves mentoring junior analysts and acting as a subject matter expert in AI-enabled process improvement.

What you'd actually do

  1. Lead complex process discovery and redesign efforts across Production Engineering, using process mining, data analysis, stakeholder workshops, and continuous improvement methods.
  2. Identify, evaluate, and prioritize automation, AI, and ML opportunities; translate process requirements into clear deliverables for implementation teams.
  3. Develop business cases, ROI estimates, implementation plans, and success measures for process improvement initiatives and automation pilots.
  4. Create and maintain process documentation, decision matrices, standard work, and governance materials to support compliance, repeatability, and sustainment.
  5. Partner with IT, systems owners, and cross-functional stakeholders to support implementation, user acceptance testing, deployment, and post-launch validation.

Skills

Required

  • Business analysis
  • Process analysis
  • Operations improvement
  • Project/business transformation
  • Automation and AI tools for process improvement
  • RPA platforms
  • Generative AI
  • ML-assisted process discovery tools
  • Excel
  • SQL
  • BI tools
  • Facilitating cross-functional workshops
  • Managing stakeholders
  • Written communication skills
  • Verbal communication skills

Nice to have

  • Instructional Design
  • Curriculum development
  • E-learning content development
  • Instructor-led training development
  • Learning Management Systems (LMS)
  • Articulate
  • Captivate
  • Xyleme

What the JD emphasized

  • AI/ML-enabled solutions
  • automation
  • process improvement