Vehicle Connected Data Manager

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. In this position... This role serves as an enterprise early warning leader, transforming large-scale connected vehicle telemetry into actionable insights that identify emerging quality issues before customer impact occurs. The position combines data science, automotive systems expertise, and cross-functional leadership to drive predictive quality detection, accelerate root cause identification, and improve enterprise quality metrics. The ideal candidate brings deep experience in automotive systems, big data analytics, AI/ML-driven detection methods, and technical leadership within fast-paced product development and launch environments. Responsibilities What you'll do... Predictive Quality Analytics & Anomaly Detection Develop and deploy advanced analytics frameworks to identify anomalous vehicle behaviors, diagnostic trends, and emerging quality risks across millions of connected vehicles. Apply statistical methods, machine learning, and AI-driven detection techniques to improve early warning capabilities and reduce time-to-detection for vehicle quality issues. Design scalable algorithms and data models capable of analyzing billions of telemetry and diagnostic data points across vehicle platforms. Connected Vehicle Data Strategy Lead enterprise use of connected vehicle data throughout the product lifecycle, including pre-production validation, launch monitoring, and in-market quality surveillance. Define strategies for leveraging cloud-based telemetry, diagnostic, and software interaction data to improve product quality outcomes. Drive continuous improvement of detection logic, escalation frameworks, and data-driven quality processes. Technical Investigations & Root Cause Analysis Lead use of connected data for quality across the entire product lifecycle, from TT builds in CVLQ to MP1 builds in EWRT and post-OKTB data in UCS. Lead deep-dive investigations into software, hardware, calibration, and systems integration issues using connected vehicle data. Correlate signals across vehicle functional domains to identify root causes and systemic quality trends. Partner with Product Development, Software, Hardware, Manufacturing, and Quality teams to drive issue resolution and containment actions. Data Science & Platform Development Drive development of automated analytics pipelines, AI-enabled monitoring tools, and executive dashboards supporting enterprise quality initiatives. Partner with data engineering and platform teams to improve data accessibility, reliability, and scalability across cloud environments. Champion modern data science methodologies and operational analytics best practices within the organization. Leadership & Executive Communication Lead cross-functional initiatives focused on launch quality improvement, issue prevention, and reduction of customer-impacting failures. Translate highly technical findings into concise executive-level insights and strategic recommendations. Influence decision-making across engineering, quality, and leadership organizations without direct authority. Qualifications You'll have... Master’s degree in Data Science, Computer Science, Electrical Engineering, Statistics, Mathematics, or related technical field. 6+ years of experience in automotive engineering, connected vehicle analytics, data science, or quality analytics. 3+ years of experience leading cross-functional technical initiatives with measurable business outcomes. Experience operating within vehicle launch, quality, or product development environments preferred. Strong experience with big data analytics platforms and cloud ecosystems including GCP, BigQuery, AWS, or Azure. Proven experience developing scalable analytics solutions using large telemetry or sensor-based datasets. Hands-on experience with anomaly detection, predictive analytics, statistical modeling, or machine learning applications. Deep understanding of vehicle diagnostics, CAN/Ethernet communication architectures, and DTC strategies. Strong technical familiarity across automotive functional domains including Powertrain, Electrified Powertrain, ADAS, Infotainment, Body Controls, Thermal Systems, and Vehicle Networking. Experience building automated data pipelines and operational analytics solutions supporting business-critical functions. Exceptional analytical, problem-solving, and cross-functional leadership capabilities. Strong executive communication and technical storytelling skills. Even better, you may have... Programming experience in Python and embedded or systems-level scripting environments such as Lua. MBA or management-focused graduate education is a plus. Strong understanding of Ford Connected Data practices – data engineering pipelines, data privacy standards, customer consent regulations. Experience with AI/ML model deployment and operationalization. Familiarity with connected vehicle telemetry architectures and cloud ingestion frameworks. Experience developing visualization tools and executive analytics dashboards. Knowledge of structured root cause methodologies such as 8D or 5-Why. Experience supporting software-defined vehicle and over-the-air (OTA) ecosystems. 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 of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year’s Day Paid time off and the option to purchase additional vacation time. This position is leadership level 5 and ranges from $141,700-$268,300. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here 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 View phone number on click.appcast.io. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-DP1 Job Info Job Identification 64168 Job Category PD Operations and Quality Posting Date 06/08/2026, 05:59 PM Apply Before 06/19/2026, 12:00 AM Degree Level Master's Degree or equivalent Job Schedule Full time Locations 20901 Oakwood Blvd, Dearborn, MI, 48124, US (Hybrid) #J-18808-Ljbffr Ford Motor Company