Project Manager

Early Warning Detection InvestigatorWhat they will be doing/working on:Monitor vehicle data and alerts to spot possible safety or quality problems before they become major issues.Analyze large amounts of data from warranties, repairs, service records, customer complaints, and vehicle performance systems.Investigate potential vehicle defects or trends and determine whether they are real concerns.Work with teams such as Engineering, Manufacturing, Quality, Service, and Product Investigation to understand the issue and its impact.Prepare reports explaining what was found and recommend whether an issue should be escalated for further investigation or closed.Track investigation status and provide updates to management.Help improve the company's data analytics, predictive modeling, and alert systems so future problems can be detected earlier.Must Have Skills:Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics.Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings.Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly.Experience supporting investigations, reporting, or program execution through timely and accurate data preparation.Bachelor's degree in Data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, or a related technical or quantitative discipline; equivalent experience may be considered. Bachelor of Science degree in Mechanical or Electrical Engineering from an ABET accredited university; other engineering degrees or related technical degrees with combined experience may be considered.Job Description:Early Warning Detection Investigator will be responsible for conducting comprehensive preliminary ("screening") technical reviews on proactive sensing product alerts related to vehicle safety and compliance. The selected candidate will work with/lead cross-functional teams (e.g., Engineering, Manufacturing, Quality, Service, Product Investigations) to determine product scope and consequence of potential product issues during preliminary technical reviews of product alerts. The Specialist will also document all required technical review information and data with sufficient detail and clarity; recommend escalation or closure actions for all product alert items and provide rationale; and provide frequent technical review status reports to Product Investigators and management. The selected candidate will also provide recommendations to the Information Technology department regarding proactive sensing functional logic and continuous improvements of Predictive Analytic techniques and visualization.Position Requirements:Bachelor's degree in Data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, or a related technical or quantitative discipline; equivalent experience may be considered. Bachelor of Science degree in Mechanical or Electrical Engineering from an ABET accredited university; other engineering degrees or related technical degrees with combined experience may be considered.Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics.Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings.Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly.Experience supporting investigations, reporting, or program execution through timely and accurate data preparation.Strong attention to detail with the ability to manage multiple priorities and meet time sensitive deadlines.Ability to understand and break down complex data or issues into clear, actionable information.Strong written and verbal communication skills to support internal stakeholders, including investigators, program managers, and leadership.Ability to work independently on assigned tasks while collaborating effectively within cross functional teams.Ability to clearly communicate both written and verbal to management, engineering, internal and external stakeholders