The key to running ideological and political theory courses well lies in the teachers, and the key is to unleash their enthusiasm, initiative, and creativity. Image, as an important manifestation of the professional development level of the teaching staff of ideological and political theory courses, is an important focus of ideological and political theory courses construction. Based on the digital age, with the development and maturity of big data and its multidimensional applications, the combination of the two has inherent compatibility and practical necessity in the face of the actual demand for the image construction of the teaching staff of ideological and political theory courses. Grasping the functional value, application scenarios, and inherent thinking concepts of big data, clarifying the internal laws and general processes of image construction, can effectively explore the multidimensional approach of big data empowering the image construction of the teaching staff of ideological and political theory courses. Big data effectively empowers the quality improvement, structural optimization, and precise governance of the teaching staff of ideological and political theory courses through its role, and actively constructs the image of the teaching staff of ideological and political theory courses through subject strengthening. Big data promotes the concept innovation of image design for the teaching staff of ideological and political theory courses, the systematic implementation of image shaping, and the integration of image dissemination, in order to build a more orderly image of the teaching staff of ideological and political theory courses through process optimization and innovation. Big data aims to solve the contradiction between the overall promotion and key breakthroughs of the image construction of the teaching staff of ideological and political theory courses, the contradiction between what is and what should be, and the contradiction between the representation of image reality and actual perception, in order to construct the image of the teaching staff of ideological and political theory courses with higher quality in promoting the resolution of contradiction problems. Big data combines comprehensive evaluation and key evaluation, external evaluation and self-evaluation, result evaluation and process evaluation to help construct the image of the teaching staff of ideological and political theory courses more efficiently in evaluation optimization.