Predictive Analytics and Early Detection Lead

Purpose of Position Provides strategic and operational leadership over Early Detection, tool development and Helpline Investigations. This role ensures early risk identification, high quality data analytics, effective tool development, and consistent support to investigations, recalls, and regulatory compliance activities. Job Description Lead and supervise the early detection, tool development and helpline investigations team, setting priorities and aligning resources with the goal of identifying earlier detection indications of potential safety field issues. Management will consist of establishing/tracking deliverables, escalating risk items, developing continuous process improvement initiatives (improved early detection leading indicators, process accuracy and efficiencies), and establishing synergies. Oversee identification and analysis of emerging safety and compliance trends from structured and unstructured data sources. Ensure consistent methodologies for trend validation, escalation, recall scope assessment, and remedy effectiveness monitoring. Translate analytical results into clear, actionable insights for investigators and leadership. Oversee development, maintenance, and enhancement of analytics platforms, dashboards, and investigation tools. Ensure data anomaly detection, audits, and automated accuracy checks are established and maintained. Serve as primary liaison with ICT on data feeds, platform changes, audits, and enhancements. Provide oversight of Helpline intake and triage for safety, non‑compliance, and emissions concerns. Ensure appropriate screening, escalation, confidentiality controls, and coordination with the Business Practices Office. Basic Qualifications Bachelor's degree in Data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, Engineering, or a related technical or quantitative discipline. Minimum of 8 years of experience working with data in a safety, regulatory, investigations, compliance, or operational analytics environment. 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, 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 and regulators. Ability to lead a team in the execution of deliverables on a condensed timeline. Preferred Qualifications Palantir experience. Advanced degree. At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. #J-18808-Ljbffr Stellantis