Senior Lecturer - Business Statistics, Data Analytics & Mathematics

Position title: Lecturer/Senior Lecturer – Business Statistics, Data Analytics & Mathematics

School: School of Business & Management (SoBM)

Location: IBSUniversity, 11 Mile Campus, Port Moresby

Reports to: Head – School of Business & Management

Employment type: Full-time

IBSUniversity seeks a full-time Lecturer/Senior Lecturer to teach Business Statistics, Data Analytics and Mathematics within the School of Business & Management (SoBM), working under the Head of School.

About the Role

The Lecturer is the gatekeeper of student success, helping students gain the quantitative and analytical skills they need to prosper in business careers. This role delivers the school’s quantitative stream: Business Statistics, Data Analytics and Mathematics for undergraduate and graduate programs.

The Lecturer will use digital tools and real business data to deliver an engaging learning experience, keep students engaged academically and socially, and make effective use of the University's finite academic resources. The role involves a high degree of unsupervised work. We are looking for an outcome-focused person with strong conflict-resolution skills who manages their own workload well and works productively in a team.

Key Responsibilities

The Lecturer will teach and develop undergraduate units in Business Statistics, Data Analytics and Mathematics, and will manage and monitor associated programs, including operational administration, curriculum development, course materials review and quality enhancement. Duties include, but are not limited to, the following.

Learning & Teaching

• Teach Business Statistics, Data Analytics and Mathematics for undergraduate and graduate programs.
• Deliver lectures, tutorials and computer-lab sessions to individuals and groups and complete the assigned syllabus within the scheduled time.
• Use statistical and analytics software and other teaching aids to improve understanding and delivery.
• Use real business and local industry datasets so that students apply quantitative methods to practical decisions.
• Monitor student attendance and progress and achieve the benchmark set in the semester KPIs.
• Use the Institution's pre-determined resources to deliver teaching as outlined.
• 
  

Lesson Preparation, Assessment & Examination

• Design, prepare and conduct face-to-face, online and cooperative learning sessions that inspire discussion and keep students engaged.
• Ensure unit design and delivery comply with the quality standards and regulations of the University and College.
• Set assessments, mark and moderate, supervise and invigilate examinations.
• Prepare and submit DRMS on time.
  
  

Student Learning Experience

• Provide a high-quality learning experience that helps students achieve the prescribed learning outcomes, including support for students who find mathematics and statistics difficult.
• Supervise student projects, including data-driven research projects, and the academic elements of field trips as required.
• Support students' extracurricular activities.
• Coordinate meetings and schedules with tutees.
  
  

Curriculum Development

• Develop and produce learning materials, datasets, lab exercises and assessment methods of the highest quality for undergraduate programs.
• Design and deliver modules and curriculum and review them regularly to keep them current with industry practice and analytics tools.
• Work with other schools to embed quantitative and data skills across programs.
  
  

Research, Scholarship & Innovation

• Research and publication record in quantitative or applied business areas.
• Engage in research, scholarly activity and innovation, subject to the approval of the Head of School.
• Work with researchers internally, nationally and internationally to contribute to the research objectives of the School and the Institution's research centers.
• Maintain subject and professional development relevant to teaching and contribute actively to the subject association and relevant professional bodies.
  
  

General Duties

• Attend and present at relevant conferences, and share insights with other schools when required.
• Liaise closely with teaching, technical and administration staff.
• Take on administrative responsibilities as requested by the Head of School
• Take part in professional development and staff development initiatives on learning and teaching and continue to grow cultural competence.
• Support the team in other operational activities as required.
  
  

Key Selection Criteria

Essential

• Master's degree or higher in Statistics, Mathematics, Data Science/Analytics, Applied Mathematics, Economics/Econometrics or a closely related quantitative field. A Business degree with a strong quantitative major may be considered.
• At least 3 years' experience teaching statistics, mathematics or data analytics at tertiary level.
• Demonstrated ability to teach quantitative subjects to business students, including those with limited mathematical background.
• Proficiency in at least one statistical or analytics tool (Excel, SPSS, R, Python, Power BI or Tableau) and the ability to teach it.
• Well-developed interpersonal skills, with the ability to communicate effectively with students and with employees and management at all levels.
• Excellent analytical, business-judgement and decision-making skills.
• Ability to review programme design regularly to ensure compliance with quality standards and academic regulations, and to make changes where appropriate.
• Ability to use a range of delivery techniques to enthuse and engage students.
• Ability to develop and maintain effective working relationships with students, staff, management, other organizations and external stakeholders.
• Ability to explain complex quantitative ideas in several ways: presentations, reports, journal articles and so on.
• Ability to plan workloads and projects and manage resources effectively.
• Sound computer skills.
  
  

Desirable

• PhD in a relevant field.
• Experience teaching in a business school or with business and management programs.
• Experience with learning management systems and online or blended delivery.
• Industry or consulting experience in data analysis, research or business intelligence.
• Knowledge of Papua New Guinea's business environment and local data sources.