Adjunct Professor: California School of Management & Leadership - MSDA Program

Application Instructions:

• All individuals interested in being considered for an Adjunct position, now or in the future, must submit the following items:




• Resume/CV
• Transcript (of your highest degree obtained)
• Three (3) professional references

Application Description:
Applicants to this position will be considered for a candidate pool encompassing one or more of the subject areas outlined in the job description. This pool will be used to identify qualified candidates for potential appointments during the 2025-2026 academic year.

The California School of Management and Leadership (CSML) has a long history of more than 35 years with an alumni base spread globally. Graduates from our programs are employed in diverse industries, disciplines and positions in several types of organizations in more than 50 countries around the world. CSML is known for multicultural and multinational education to a student population with diverse backgrounds. Stalwarts such as Dr. Igor Ansoff and Dr. Efraim Turban laid the conceptual foundation of the school's academic mission in preparing tomorrow's global leaders. CSML concentrates on professional practice, applied theory and contemporary techniques. Our goal is to educate individuals who will go out into the world to accomplish great things in the communities around the world they serve.

The Management School is in growth mode and plans to continue to grow the ground programs, expand in the online modality, as well as expand geographically to Alliant's other California campuses. The programs have a strong global dimension with many of the professors and students having a global background coming from different countries and having worked abroad. This multiculturalism is thoroughly integrated into the classes at CSML. Students benefit from having an accomplished cohort- many who are working professionals or international students and/or former US military. This experience creates a network that enhances the student learning environments in their programs and in co-curricular activities. Many of our doctoral students publish either by writing books or conference papers or journal articles, which further enhances their professional stature.

The school offers programs at the Masters and Doctoral levels.

Los Angeles Campus - MSDA- STEM - Master Science Data Analytics Program

CSML is seeking qualified part-time instructors to teach in our STEM MSDA Master Science Data Analytics courses in our LA campus. Specifically, we are looking for candidates who can teach the following courses:

• Foundations of Data and Decision-Making Algorithms
• Database Design Principles and Technologies
• Management and Marketing Models for Managerial Decision Making
• Essentials of Computational Science Using Python
• Data Analytics for Decision Making
• Basic Applied Statistics
• Technology Tools for Managerial Decision Making
• Advanced Programming with Python
• Architectures and Methods for Data Mining
• Big Data Tools

Starting Salary: $32 hourly.

You can learn more about CSML by visiting the Alliant web site athttps://www.alliant.edu/business. If you are interested in joining our team of experts or have other questions about our program, please contact us atcsmlinfo@alliant.edu.

CSML continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position:

Pedagogical & Academic Skills:

• Facilitating Classroom and Distance/Distributed Learning
• Course and syllabus preparation
• Class curriculum coordination and planning
• Assessment and evaluation of learners
• Mentoring and advising students
• Holding office hours and meeting with students
• Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations

Skills:

• Proficient computer skills, including proficiency with Microsoft Office programs.
• The ability to work independently and be self-motivated.
• High level of accuracy and attention to detail and the ability to solve problems.
• The ability to explain complex requirements in clear and concise terms.
• The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines.
• The drive to encourage, direct, hold accountable and guide candidates toward task completion.
• Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar's Office and various academic departments.
• Culturally competent and ability to communicate and interact effectively with diverse people.
• Highly motivated, focused and results oriented.
• Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality.
• Collaboration and partnering with other university stakeholders to support candidate success.
• Ability to make administrative/procedural decisions and judgments.

Technical & Subject Matter Expertise:

• Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making.
• Expertise in machine learning, artificial intelligence, and predictive modeling.
• Proficiency in data wrangling, data preprocessing, and feature engineering.
• Strong command of programming languages commonly used in analytics (e.g., Python, R, SQL, Julia).
• Experience with big data technologies (e.g., Hadoop, Spark, Databricks).
• Proficiency in data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot2).
• Expertise in statistical software and libraries (e.g., scikit-learn, TensorFlow, PyTorch, SAS, SPSS).
• Familiarity with cloud platforms for analytics (e.g., AWS, Azure, GCP).
• Knowledge of database management systems, data warehousing, and ETL pipelines.
• Understanding of data governance, data ethics, and privacy regulations (e.g., GDPR, HIPAA).

Minimum Requirements:

• Education:Master's, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught.
• Experience: 5 years' appropriate industry experience in the areas(s) of specialization and expertise required.