Manager, Uptime AI at Ford Motor Company

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, Large Language Models, Predictive Analytics, Data Mining, Project Management, Root Cause Analysis, Statistical Analysis, KPI Dashboarding, Vehicle Systems Knowledge, Cross-functional Leadership, Six Sigma, Data Visualization

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? As the Product Manager of Uptime AI, you will lead the strategic transformation of Ford’s Customer Service Division ecosystem from reactive problem-solving to a proactive, AI-driven pipeline. You will be the primary owner of the Quality Early Warning (QEW) system, leveraging Large Language Models (LLMs) and advanced analytics to detect emerging vehicle concerns in days rather than months. Our mission is to eliminate manual guesswork in quality, empowering teams with precise, automated insights that streamline service and drastically reduce Repair Order (RO) duration and prevent Service Level Agreement (SLA) breaches that lead to vehicle buy-backs (RAV). In this position, you will be responsible for: • AI & Data Science Collaboration: Partner with GDIA Data Scientists to extract and analyze multi-source data for early trend detection and root-cause identification. You will continuously refine predictive dashboard models, partner with GDIA Data Scientists to ingest, clean, and synthesize complex, multi-source data streams (including connected vehicle telemetry, warranty claims, and customer feedback), accelerating early trend detection of emerging quality issues, and ensure data integrity by validating AI outputs from a business, quality, and engineering perspective. • Proactive System Leadership: Drive the innovation of quality processes by scaling "Field Intelligence" and "Command Center" models. Integrate these frameworks with Uptime logic to transform how the organization identifies unknown issues - moving from reactive reporting to real-time, predictive intervention that reduces repair order duration. • Lead Strategic Action Plans: Develop robust business cases and prioritized action plans for top emerging issues (e.g., software deployment failures, hardware defects) to minimize financial impact and warranty exposure. • The FCSD Product Uptime Manager Liaison acts as the ultimate bridge between advanced data science (GDIA), core Product Engineering, Quality, and Service Engineering Operations (SEO). In this role, you will represent FCSD interests across the product lifecycle, leveraging predictive AI and regional Rapid Hubs to identify emerging issues, validate root causes, and rapidly deploy Permanent Corrective Actions (PCAs) to protect the customer experience and reduce warranty exposure. • Proactive Uptime Triage: Utilize statistical analysis and AI-driven "Service Complexity Predictors" to identify at-risk repairs. Specifically target and prevent long repair order duration. • Dashboard & KPI Ownership: Develop and maintain high-impact dashboards (Google Looker/Streamlit) to track "Bowler" metrics, including RO duration variance and AI prediction accuracy. • Executive Storytelling: Distill complex data patterns and AI signals into concise "One-Pagers" for FCSD, Quality, and Engineering leadership, providing clear decision-support on stop-ships, FSAs, and service fixes. • Continuous Improvement: Drive PDCA (Plan-Do-Check-Act) cycles to evaluate the effectiveness of corrective actions on repair speed and first-time fix rates. Qualifications You’ll have: • Education: Bachelor's degree in engineering, statistics, or related field of technology. • Analytical Rigor & AI Scalability: Proven ability to utilize data mining and visualization tools to identify patterns and anomalies in unstructured data. You are confident in leveraging, implementing, and scaling artificial intelligence solutions (such as LLMs and predictive models) to move from pilot concepts to enterprise-wide operational tools. • Project Management: Capability of organizing and managing numerous high-stakes projects simultaneously from inception/feasibility through global implementation. • Communication: Solid written and verbal skills to communicate technical results and project status to cross-functional stakeholders. • Overall knowledge of vehicle systems and operations. • Understanding of diagnostics and repair procedures required • Strong interpersonal skills; ability to work with other areas of the company • Able to work independently with minimal supervision • Strong project management skills with the capability of organizing & managing numerous projects simultaneously from inception/feasibility, through implementation Even better if you have: • Experience: 10+ years in the automotive industry, specifically in Quality or Engineering. • AI/ML Familiarity: Experience with Large Language Models (LLMs), clustering, Artificial intelligence or embeddings used to analyze customer data. • Problem Solving: Proficiency in Six Sigma, 8D, 5-Why, or other structured root-cause methodologies. • Mindset: A self-starter who is comfortable being self-directed in a high-volume, fast-paced environment.

Responsibilities

Lead the transformation of Ford's Customer Service Division from reactive to proactive problem-solving using AI-driven pipelines and the Quality Early Warning system. Collaborate with data scientists to analyze vehicle telemetry and warranty claims to reduce repair durations and prevent vehicle buy-backs.