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Product Development Data and Enterprise Integration Analyst at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

162120.0

Posted On

21 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

BOM Definition, Data Integration, Process Improvement, Cross-Functional Teamwork, Workflow Documentation, Automation, Artificial Intelligence, Industrialization Concepts, Communication, Presentation Skills, Excel, Product Data Management, Process Mapping, Workflow Analysis, Value Stream Mapping, Analytics

Industry

Motor Vehicle Manufacturing

Description

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? Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more! In this position… You will support Ford Engineering efforts to improve Engineering Bill of Material (BOM) processes and data integration to enable best-in-class industrialization. Working closely with cross-functional teams and under the direction of the PD Data and Enterprise Integration Supervisor, you’ll help identify gaps, document opportunities, and contribute to the development of improved processes, roles/responsibilities, and tool strategies including opportunities for automation and AI.

Responsibilities

This role supports Ford Engineering by improving Engineering Bill of Material (BOM) processes and data integration to achieve best-in-class industrialization. The analyst will collaborate with cross-functional teams to identify gaps, document opportunities, and contribute to developing improved processes, roles, and tool strategies, including automation and AI.