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Senior Specialist, Software Product Management-Material Logistics

4 months ago

Dearborn, United States Ford Motor Company Full time

Drive the future of logistics at Ford

North American Inbound Logistics product has a high performing team implementing a Yard Management System, supporting legacy systems, and paving a new path to improve cost and quality to operations. We are seeking an experienced and passionate Digital Product Manager to lead the vision, strategy, and execution of our logistics data platform services and inbound transportation management process. You will play a critical role in transforming inbound operations by coordinating the implementation of a new Yard Managment System at all plants in North America and driving the strategy for Inbound Logistics. You will also shadow the exiting Product Manager (retiring) for 3 months gaining experience in the day to day activities.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Drive the future of logistics at Ford As the Product Manager of the Inbound Logistics team you'll manage the workload of key IT resources and delivering value to Ford Operations thru enterprise-wide solutions, bringing the right data to the right audiences in the right format at the right time. You will work with vendors, enterprise architects, plant IT, plant operations, MP&L to deliver a best-in-class Yard Management System improving operations and adding value to Ford Motor Company. The selected candidate will organize, prioritize and deliver to reduce the dependency on legacy systems and defragment the portfolio and technology used.

Product Ownership:

Own the end-to-end product lifecycle Yard Management System (YMS), identifying risks/issues, prioritizing user-stories and backlog to maximize productivity of the Inbound Logistics team. Conduct Product ceremonies to in-take demand, daily stand-ups and iteration retrospectives with a positive continuous improvement mindset.

* Strategic Vision:

Define and articulate a clear product vision and strategy aligned with Ford's overall logistics and supply chain goals.

* Stakeholder Management:

Collaborate closely with cross-functional teams including logistics, engineering, IT, data science, and external partners to gather requirements, manage expectations, and ensure alignment.

* Data-Driven Decision Making:

Leverage data and analytics to identify opportunities for improvement, track key performance indicators, and measure the success of product initiatives.

* Technical Acumen:

Possess a strong understanding of logistics data platforms, transportation management systems, and related technologies such as APIs, cloud computing (including GCP), and data analytics.

* Process Optimization:

Lead the deployment of YMS at each plant reducing number of issues/incidents at each successive launch.

Product Ownership:

Own the end-to-end product lifecycle Yard Management System (YMS), identifying risks/issues, prioritizing user-stories and backlog to maximize productivity of the Inbound Logistics team. Conduct Product ceremonies to in-take demand, daily stand-ups and iteration retrospectives with a positive continuous improvement mindset.

* Strategic Vision:

Define and articulate a clear product vision and strategy aligned with Ford's overall logistics and supply chain goals.

* Stakeholder Management:

Collaborate closely with cross-functional teams including logistics, engineering, IT, data science, and external partners to gather requirements, manage expectations, and ensure alignment.

* Data-Driven Decision Making:

Leverage data and analytics to identify opportunities for improvement, track key performance indicators, and measure the success of product initiatives.

* Technical Acumen:

Possess a strong understanding of logistics data platforms, transportation management systems, and related technologies such as APIs, cloud computing (including GCP), and data analytics.

* Process Optimization:

Lead the deployment of YMS at each plant reducing number of issues/incidents at each successive launch.