Business Process Analyst - Production Engineering Business Integration (Senior or Lead)

Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Commercial Airplanes (BCA) Production Engineering is seeking a Senior or Lead Level Business Process Analyst to join the Business Integration team. In this role, you will lead high-impact, cross-functional process improvement and automation efforts that improve efficiency, quality, and operational performance across Production Engineering.
This position is focused on leveraging process analysis, automation, AI/ML-enabled solutions, and data-driven methods to streamline work, reduce manual effort, and improve end-to-end business processes. You will partner with Production Engineering leadership and other stakeholders to discover, document, and redesign processes, drive implementation, and support sustainable adoption.
In addition, this role supports Production Engineering University by designing curriculum, course content, instructional materials, and job aids that help embed improved processes into day-to-day operations and onboarding.
Our teams are currently hiring for a broad range of experience levels including Senior or Lead Level.
Primary Responsibilities:

• Lead complex process discovery and redesign efforts across Production Engineering, using process mining, data analysis, stakeholder workshops, and continuous improvement methods.
• Identify, evaluate, and prioritize automation, AI, and ML opportunities; translate process requirements into clear deliverables for implementation teams.
• Develop business cases, ROI estimates, implementation plans, and success measures for process improvement initiatives and automation pilots.
• Create and maintain process documentation, decision matrices, standard work, and governance materials to support compliance, repeatability, and sustainment.
• Partner with IT, systems owners, and cross-functional stakeholders to support implementation, user acceptance testing, deployment, and post-launch validation.
• Define, implement, and monitor process KPIs and dashboards; analyze results and present improvement opportunities to leadership.
• Design, develop, and manage curriculum, course materials, job aids, assessments, and instructional content for Production Engineering University and onboarding programs.
• Mentor junior analysts and serve as a subject matter expert in process methodology, instructional design, and AI-enabled process improvement.

This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options.
Basic Qualifications:

• Bachelor's degree in business, Instructional Design, Engineering, Information Systems, Education, or related field, or equivalent experience.
• 10+ years of experience in business analysis, process analysis, operations improvement, or project/business transformation.
• Experience with automation and AI tools for process improvement in a corporate environment, such as RPA platforms, generative AI, or ML-assisted process discovery tools.
• Strong analytical skills and comfort working with data, including Excel, SQL, BI tools, and similar.
• Experience facilitating cross-functional workshops and managing stakeholders.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Experience designing, developing, and managing curriculum, e-learning content, instructor-led training, and instructional materials.
• Experience with Learning Management Systems (LMS) and authoring tools such as Articulate, Captivate, Xyleme, or similar.
• 15 or more years of related work experience or an equivalent combination of education and experience (Lead Level)

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Shift:
This position is for 1st shift.
Union:
This is a non-union-represented position.
Pay and Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements

• Summary pay range for Senior (Level 4): $119,850 - 162,150
• Summary pay range for Lead (Level 5): $154,700 - $209,300

Applications for this position will be accepted until May. 22, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.