New College Grad - Front-end Quality Manufacturing Risk Management Systems Engineer

Lead projects aimed at developing and maintaining tools and systems that assist Quality and Process teams in minimizing process variation. Contribute to the development and alignment of the Front-End Quality vision with system creation and AI capability initiatives. Find opportunities to integrate AI within system development or enhance existing systems utilizing tools. Collaborate with Fabs and multi-functional partners to define, implement, and sustain systems with well-established ownership and governance structures. Develop and standardize key performance indicators and evaluation methodologies, ensuring standard processes for system use are disseminated across all sites. Monitor project progress relative to area goals and timelines, call out critical risks, and obtain necessary support when required. Review, track, and consistently communicate project requirements, status updates, and risks to relevant team members, including preparing and delivering project updates, proposals, and performance summaries. Facilitate system deployment activities, including the creation of training materials and verification of compliance. Serve as a technical domain authority for quality systems and system continuous improvement initiatives. Proactively address critical system issues and communicate status to appropriate audiences. Cultivate accountability by ensuring clear communication, actionable feedback, effective project management, and robust metric tracking. As a project leader, this role requires clear communication with leadership and team members to ensure ongoing support worldwide. A foundational knowledge of FMEA partner risk analysis, control validation procedures, and systems like MVC (equipment risk), Mixed Run (product flow risk), QRC (product risk), and Central Control Plan (process control validation) will be necessary for spotting gaps between systems and finding improvement opportunities. Proficient in one or more scripting, programming and visualization tools: Python, Tableau, Power BI or equivalent. Advanced problem-solver - understanding of data, good data intuition and data visualization skills Experience or knowledge of data collection, warehousing systems, and data cleansing Hands-on experience in the field of data analytics, preferably with experience querying databases