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.

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.

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, Big Query, 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…