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? 
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position... 
The team is highly valued because they provide critical data that aids in making important decisions, including preparing information for the Board of Directors, making the role high-visibility and impactful.

The role involves constant new and challenging tasks, requiring problem-solving with data analytics and finding innovative ways to use data to support the team.

In this position the candidate would: 
• Apply analytical techniques to establish best practices and continuously improve Product Development.
•  Prepare technical documents and presentations to ensure effective communication on     quality topics.
•  Lead in development of necessary generic quality documents, ensure consistency and use of best practices and lessons learned. 
•  Provide technical leadership and make decisions in quality issues, resolution development, robust and systemic containment actions, and prevent recurrences. 
•  Develop and implement tools aiding engineers in quality resolution efficiency. 
•  Lead development and improvement of the process and tools that support warranty cost reduction.
•  Develop and apply project management disciplines.
•  Train and mentor IPTSE Engineers in correct utilization and presentation of quality data. 
•  Creation and maintenance of OPD Trainings, requirements, and single point lessons 
•  Work with PD & GDIA teams to extract, summarize and analyze Connected Vehicle data to lead problem solving issues. 
•  Promote utilization of leading indicators to drive early issue detection and resolution. Ie. Internal indicators, ECATs, REDCRs, VOCF and connected vehicle data. 
•  Support data discovery for prognostics development. 
• Teach OPD Engineers use of Motive and Agile Data Collection and methods (Quality.Ai, CVDOS, Agile Vehicle Requests, Google Cloud Console) 
•  Mentor organization in data manipulation tools and methods (Alteryx, Tableau, Qlik Sense, Binning.)
•  Enhance capabilities of quality team through providing technical expertise on quality methods and data analytics.
•  Drive data driven decision making and issue resolution cross functionally ensuring quality IPTSE performance. 
•  Host Tech Club hours. 
•  Continuously improve PD Quality Processes by enhancing requirements and process metrics based on lessons learned. 
•  Lead IPTSE quality team members in understanding of issues and more standardized effective communication/ presentation.