招聘

Outbound Vehicle Logistics Business Solutions Supervisor
Allen Park, MI, United States, US
·
On-site
·
Full-time
·
1w ago
In this position…
- The North America Vehicle Logistics (NAVL) Business Solutions Supervisor is a strategically critical leadership role within Ford Motor Company's Material Planning & Logistics organization. This position is responsible for supervising and guiding the business solutions function that supports the end-to-end transformation of Ford's North American outbound vehicle logistics network — spanning the United States, Mexico, and Canada.
This position directly supports Ford's Customer Excellence mission by enabling agile, varying service levels that reflect the consumerization of B2B logistics — a world where customers, dealers, and carriers expect the kind of real-time, Uber-style tracking and proactive communication that has become the standard across industries. The NAVL Business Solutions Supervisor is responsible for ensuring Ford not only meets that expectation but leads the industry in setting it.
- As a transformational leader, the NAVL Business Solutions Supervisor is expected to model Ford's values, invest in the growth of their team, challenge conventional thinking, and champion a culture where data, technology, and human insight work in concert to deliver a resilient, predictive, and efficient logistics backbone for Ford Motor Company.
You’ll have …
- Bachelor's degree in Supply Chain Management, Logistics, Business Administration, Information Systems, Engineering, related field (required) or equivalent combination of relevant education and experience
- 5+ years of progressive experience in logistics, supply chain, transportation management, or business solutions
- Demonstrated experience in a leadership or supervisory capacity with proven ability to manage and develop teams
- Proficiency in the Microsoft Office Suite (required), including advanced Excel, PowerPoint, Word, Outlook, and Teams; experience with Power BI strongly preferred
- Proven ability to lead cross-functional initiatives in complex, matrixed organizational environments
- Demonstrated experience applying or overseeing AI/ML solutions in an operational or logistics context
Even better, you may have...
- Education: Master’s Degree
- Knowledge of vehicle launch processes and automotive manufacturing constraints.
- Ability to thrive in a fast-paced environment with shifting priorities.
- Strong analytical skills and quick decision-making capability preferred
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
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 changemaker, 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:
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Immediate medical, dental, and prescription drug coverage
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Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more
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Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
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Vehicle discount program for employees and family members, and management leases
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Tuition assistance
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Established and active employee resource groups
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Paid time off for individual and team community service
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A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
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Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $112,680-212,760.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
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. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
Candidates who are in commuting distance to a Ford hub location may be required to be onsite 4 or more days per week.
What you will do …
- Transformational Leadership
- Lead, mentor, and develop a high-performing team of logistics and business solutions professionals, fostering a culture of innovation, accountability, and continuous improvement
- Champion organizational change management initiatives associated with the TMS rollout and modernization of the North American Vehicle Logistics network
- Drive a collaborative, transparent, and inclusive team environment aligned with Ford's Customer Excellence mission
- Translate complex logistics challenges into clear, achievable strategic objectives for team members at all levels
- Serve as a visible change agent, inspiring adoption of new technologies, tools, and ways of working across internal and external stakeholder groups
- AI & Technology-Driven Solutions
- Oversee the development and continuous improvement of AI/ML-powered ETA prediction models trained on feature categories including route dwell patterns, localized inventory counts, carrier performance, and predicted transit congestion
- Support the application of advanced ML algorithms (XGBoost, Cat Boost) to capture localized patterns and relationships for dwell and transit optimization
- Partner with data science and IT teams to drive AI-driven feature engineering that delivers actionable operational insights and improves ETA accuracy across the vehicle delivery network
- Lead the integration and optimization of real-time vehicle tracking tools and visibility platforms (e.g., Overhaul) to monitor transit and drive operational decisions
- Oversee the modernization of Advanced Shipping Notice (ASN) processes from legacy single-ASN standards to segmented, carrier-specific X12 industry standards to reduce mis-ships and improve customer satisfaction
- Champion the rollout and adoption of innovative technologies such as the De Gould Vehicle Check-In App and digital Bill of Lading / Proof of Delivery solutions — positioning Ford as an industry-first leader in logistics transparency
3. Stakeholder Collaboration & Dealer/Carrier Engagement
- Build and maintain strong working relationships with carriers, dealers, upfit partners, and internal Ford stakeholders to drive shared transparency, trust, and operational efficiency
- Facilitate collaborative (vs. directive) carrier engagement by providing direct access to Ford logistics insights and performance data
- Support automated communications strategies that deliver real-time vehicle status updates to Ford retail customers and dealership personnel, enhancing the ‘consumerized’ B2B experience
4.
Performance Management & Business Analytics:
- Define, track, and report on key logistics performance metrics including dwell time, ETA accuracy, mis-ship rates, carrier performance, and cost savings
- Develop and present executive-level reporting and dashboards utilizing Microsoft Office Suite (Excel, PowerPoint, Power BI) to communicate business solutions performance to senior leadership
- Identify and execute opportunities to reduce operational costs, with TMS modernization projected to deliver $26 million in savings over four years
- Apply data analysis to proactively identify exceptions, optimize routing decisions, and prevent costly out-of-plan routings and spot buys
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关于Ford

Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
员工数
Dearborn
总部位置
$48B
企业估值
评价
3.3
10条评价
工作生活平衡
3.8
薪酬
3.5
企业文化
2.8
职业发展
2.2
管理层
2.5
45%
推荐给朋友
优点
Good benefits
Good work-life balance
Strong management support/respect
缺点
Poor/terrible management
Limited career growth opportunities
High turnover
薪资范围
21个数据点
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1份报告
$132,847
年薪总额
基本工资
$102,190
股票
-
奖金
-
$132,847
$132,847
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Phone Screening
3
Technical Interview
4
Team Interview
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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