Data Analytics Instructor; Re-posted

Job Title

Full-time faculty are essential in carrying out the college's mission, vision, core values, and institutional goals. Under the direction of the respective Department Chairperson/Program Director/Director, faculty ensure the quality and integrity of the academic programs and maintain oversight of the curriculum and instruction.

The essential duties include providing a high-quality learning environment, delivering effective instruction, assessing student learning, promoting continual improvement in teaching and learning, encouraging student engagement, providing advisement, and pursuing professional development. Faculty must participate in department, discipline-specific, college, and community service activities, and shared governance. Faculty must adhere to all LC policies, procedures, and guidelines, including DH (LOCAL) Employee Standards of Conduct.

Faculty are expected to adhere to the terms of their contractual agreement.

The position requires office hours and physical presence on campus. Employee must reside in the Laredo area or be able to commute to campus daily.

Characteristic duties and responsibilities:

• Course Organization and Management
• Effective Delivery of Curriculum and Instruction
• Assess Student Learning and Pedagogical Methods that Drive Continuous Improvement
• Faculty Non-teaching Responsibilities
• Professional Development
• Faculty Departmental Responsibilities
• College-wide Participation

To be considered for this position, you are required to upload your resume and unofficial transcript(s). If recommended for this position, an official transcript(s) will be required. In addition, if a license or certificate is required for this position, upload proof of your current license/certificate.

Required:

• Master's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field,
• or Master's degree with a minimum of 18 graduate semester hours in Data Analytics, Data Science, Computer Science, Information Technology, or related field.
• Graduate coursework hours must align with the course learning outcomes the instructor will teach.
• Minimum of 3 years of professional industry work in data analytics, data science, business intelligence, or a related field.

Preferred:

• Doctoral degree.
• Minimum 5 years of professional industry work experience in data analytics, data science, business intelligence, or a related field. Including experience in leading and overseeing the development, delivery, and modification of training/education curriculum.
• Teaching experience in Higher Education.
• Professional industry-recognized certification in Data Analytics, Computer Science, Information Technology, or related field.

• To excel in their role, the individual must possess a combination of skills, knowledge, and abilities.
• Clear and effective communication is essential for conveying complex ideas to students.
• Adapt teaching methods and materials to meet the needs of varied learners and changing circumstances, such as different class sizes or student backgrounds.
• Encourage and foster critical thinking skills in students by challenging them to analyze, evaluate, and synthesize information.
• Build rapport with students, foster a positive learning environment, and provide support and guidance when needed.
• Manage course materials, assignments, and assessments efficiently to ensure the smooth running of the course and fair evaluation of students.
• Be able to address challenges and solve problems that arise in the classroom or with individual students effectively.
• Be proficient in using technology tools and platforms for teaching, communication, and assessment, especially given the increasing integration of technology in the classroom.
• Understand and adhere to ethical standards in teaching and interactions with students, colleagues, staff, and administrators.
• Must balance teaching responsibilities with other academic duties, professional development training, committee work, and advising, which requires strong time management skills.

Supervision Exercised Students…