Business Process Specialist
Job in
Dearborn, Wayne County, Michigan, 48124, USA
Listed on 2026-06-01
Listing for:
Ford
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Systems Engineer, Business Systems/ Tech Analyst, Business Development, Data Engineer
Job Description & How to Apply Below
In this position...
You will leverage your process design, analytical, and cross-functional collaboration skills to build and sustain a world-class S&OP Supply Review capability. In this role, you will be responsible for developing constraint management frameworks, scenario planning tools, and decision-ready deliverables that enable leadership to align supply response with market demand. You will also support transformation initiatives that bridge current-state manual processes to target-state system-enabled planning
Responsibilities
What you'll do...
S&OP Process Design & Improvement:
Support the design and continuous improvement of the S&OP Supply Review process by building and maintaining constraint management frameworks, scenario planning tools, and decision templates under the direction of the S&OP process lead.
Technology Enablement:
Support the migration from current-state manual processes to Kinaxis Maestro by documenting process rules and decision logic, assisting with system configuration requirements, and validating that target-state tools reflect the approved process architecture.
Transformation Management Office (TMO) Support:
Coordinate cross-functional work streams across Supply Planning, Demand Planning, Finance, and Commercial teams in support of broader supply chain transformation initiatives. Track milestones, maintain deliverable quality, and facilitate stakeholder communication on behalf of the transformation lead.
Qualifications
You'll Have...
- Bachelor's Degree - in Supply Chain, Operations, Data Analytics or Industrial Engineering
- 3 or more years of relevant experience (coop/internship experience will be considered)
- Demonstrated experience working with Advanced Planning Systems (preferably Kinaxis)
- Master's degree in Supply Chain, Operations, Data Analytics or Industrial Engineering
- Data Analysis & Presentation (leveraging Excel/Alteryx/Power BI or similar data management tool experience)
- 5 or more years of relevant experience in an automotive manufacturing environment
- Prior tenure working in a Sales & Operating Plan (S&OP) environment
- Process improvement/problem-solving skills
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a change maker, a technical expert, a culture builder...or
all the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 7 and ranges from $84,.
This position is a salary grade 8 and ranges from $96,.
For more information on salary and benefits, :
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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