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Ford Pro · 9 hours ago

Diagnostics Strategy Enhancement Supervisor

20000 Rotunda Dr, Dearborn, MI, 48124, US

Full-time

Hybrid

Senior Level

7+ years exp

Ford Pro is a leading company in the automotive industry, and they are seeking a Diagnostics Strategy Enhancement Supervisor to drive the evolution of vehicle diagnostics. This role involves developing innovative strategies and transforming diagnostic data into actionable insights to improve vehicle quality and service efficiency across all products.

AutomotiveFleet ManagementSoftware

No H1B

Responsibilities

Lead ongoing analysis of vehicle diagnostic data to identify emerging issues and trends (DTCs, FDS), delivering actionable recommendations to engineering, manufacturing, and service teams

Drive diagnostic design enhancements by collaborating with cross-functional teams (Product Digital Integrity, FASTT, FCSD) to analyze high-priority warranty claims, providing data-driven feedback for improved accuracy and efficiency

Optimize and document diagnostic processes, establishing best practices and validating the real-world effectiveness of diagnostic design changes and new requirements after implementation

Define and establish new digital failure signatures (including DTCs), integrating regulatory, top warranty, and functional safety requirements in collaboration with relevant teams

Develop and implement strategies to ensure new diagnostic data and failure signatures are readily accessible and consumable across the vehicle lifecycle, supporting manufacturing plants and dealerships

Partner with internal teams (FASTT, Feature System Engineering, Hardware) to expand comprehensive diagnostic coverage for all critical vehicle features and functions by defining new failure signatures and DTCs

Serve as the Diagnostic Team's Single Point of Contact (SPOC) for Technical Program Management (TPM) regarding the implementation of Vehicle Digital Signatures of Failure

Manage and coordinate the implementation of the Vehicle Performance & Usage Monitoring System and Insights Touchpoint

Define the Service Efficiency Process and develop strategic plans leveraging Vehicle Digital Signatures of Failure

Qualification

Vehicle diagnosticsData analysisEmbedded systems engineeringDigital Signatures of FailureCommunication protocolsAdvanced analyticsMachine learningTechnical program managementCollaboration skillsLeadership skillsPresentation skills

Required

Bachelor's degree in Electrical Engineering, Computer Science, Data Science, or a related technical field

Minimum of 7 years of hands-on experience in vehicle diagnostics, data analysis, embedded system engineering, or software development roles within the automotive industry

Proven expertise in vehicle diagnostic systems, data interpretation, and defining and implementing diagnostic strategies, including Digital Signatures of Failure

Possess a strong understanding of vehicle electrical architectures and communication protocols

Demonstrated ability to analyze complex data sets, identify trends, and translate insights into actionable recommendations

Excellent communication, presentation, and collaboration skills, with the ability to effectively engage with cross-functional teams and present technical information to diverse audiences

Proven leadership abilities with a track record of mentoring and guiding technical teams, fostering innovation, and delivering results

Preferred

Master's degree or Ph.D. in a technical or Management field

10+ years of experience in automotive diagnostics, data science, or related advanced engineering fields, with at least 3 years in a leadership or strategic role

Experience launching new vehicles with a track record of achieving plant quality targets

Experience with advanced analytics, machine learning (ML) applications in diagnostics, and cloud-based data platforms

Familiarity with Ford diagnostic tools such as Ford Integrated Diagnostic System (IDS), Ford Diagnostic and Repair System (FDRS), and On-Board Diagnostics (OBD-II) systems

Strong familiarity with Ford product development deliverables and engineering tools (e.g., AVBOM, WERS, AIMS, 5Ds, eFDVS, Jama, Engineering Sign Off, DFMEA, Six Sigma, Confluence, and Jira)

Relevant certifications in data science, project management, or automotive diagnostics