随着产教融合战略的不断深化推进，高校在学生管理与稳就业的协同发展过程中，面临诸多困境，而大数据技术能够有效解决这些协同难题。本文基于学生发展、产业需求和协同生态三个维度的框架，探讨其具体应用途径，并提出构建一体化大数据平台、塑造学生动态画像、加强产教数据协作、实施全周期跟踪机制等实践方案。同时，从数据安全、共享体系、师资力量建设以及效能测评四个方面构建保障机制，助力学生管理与稳就业同频共振、协同提效，为高校优化育人水平、推动毕业生高质量就业提供理论依据与实践指导。

With the continuous advancement of the industry-education integration strategy, universities face numerous challenges in coordinating student management and employment stability, while big data technology can effectively address these issues. Based on a three-dimensional framework of student development, industrial demand, and collaborative ecology, this paper explores its specific application approaches and proposes practical solutions including building an integrated big data platform, creating dynamic student profiles, strengthening industry-education data collaboration, and implementing a full-cycle tracking mechanism. A guarantee mechanism is constructed from four aspects: data security, sharing systems, faculty strength construction, and efficiency evaluation, to promote the synchronized resonance and collaborative improvement of student management and employment stabilization. This research provides theoretical basis and practical guidance for colleges and universities to optimize the level of talent cultivation and promote high-quality employment of graduates.