Quality Technical Manager

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands-on technical manager to support Warranty Analytics and Programs within our global quality team.The ideal candidate combines strong analytical skills with practical experience. You will lead a talented team of data analysts/scientists, driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise.This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value. Key Responsibilities:Lead and coordinate 4 data analysts/scientists, ensuring alignment with business goals and tight timelinesSupport multiple ad-hoc initiatives to improve quality and reduce corporate spendCollaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.Apply statistical analysis and machine learning techniques to solve business and operational problems.Partner with business stakeholders to understand requirements and translate them into analytical solutions.Translate business needs into actionable AI use cases and technical requirementsBuild and deploy predictive models to forecast warranty claims, failure rates, and cost trends.Ensure data quality, lineage, documentation, and compliance with governance requirementsCreate dashboards and analytical outputs that drive insight adoption and operational impactCollaborate with business data engineers, and platform teams on scalability, performance, and best practicesThe ideal candidate will excel in taking complex situations and programs and simplifying them for use across all levels of experience and knowledgeThe role will require strong organizational and project management skills to facilitate project reporting. This individual will be accountable for sharing program metrics and collaborating with other departments to escalate issues quickly and effectivelyBasic Qualifications:Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field10+ years of experience as data scientist, advanced analyst, or project managementStrong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop)Proven problem solving and analytics skillsCapability to review, understand and analyze data from a business analytics standpointSelf-starter with ability to multi-task and take ownership of programsAbility to work in a quickly evolving fast-paced environmentExcellent team building and facilitation skillsExcellent verbal and written communication skillsSolid understanding of statistics, exploratory data analysis, and applied machine learningExperience working with large, complex datasets in enterprise environmentsAbility to communicate analytical findings clearly to technical and non‑technical audiencesProven experience delivering end‑to‑end analytics or data science solutions into productionExperience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP)Strong communication and stakeholder engagement skillsPreferred Qualifications:Advanced degree (Master's) in Business, Data Science, Statistics, Engineering, Computer Science, or related fieldExperience in project/program managementFamiliarity with data modeling, semantic layers, and enterprise data platformsIndustry experience in automotive and manufacturingExposure to MLOps concepts, model deployment, or monitoringHands-on experience with Palantir Foundry, Snowflake IntelligenceBrand: FCA GroupJob ID: 2017068Employment Type: Full-timeJob Area: QualityPosted Date: 17/07/2026