Professor of Business Analytics

10 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Woxsen University is seeking to appoint an eminent academic leader as a Professor of Business Analytics. In an era defined by data, this role is critical to the university's mission of preparing future leaders to excel in a digital-first world. We are looking for a visionary scholar who will champion the university's intellectual agenda in Business Analytics, Data Science, and AI. The successful candidate will lead pioneering research, deliver a state-of-the-art curriculum, and build strong ties with the technology and analytics industry. This is a premier opportunity to shape the future of business education and research in one of India’s most dynamic universities.


3. Key Responsibilities


The role is structured around the three pillars of academic contribution: Research, Teaching, and Institutional Leadership.

A. Research and Scholarship:

  • Lead and conduct world-class, impactful research in key areas of Business Analytics, such as Machine Learning applications in business, AI Strategy, Predictive Modeling, Big Data Analytics, Data Visualization, or Prescriptive Analytics.
  • Consistently publish in top-tier, peer-reviewed international journals (e.g., FT50, ABDC A*/A, leading Information Systems/Data Science journals).
  • Secure significant external research funding from government bodies, international agencies, and corporate partners to establish a Centre of Excellence in Analytics.
  • Disseminate research findings at premier international conferences, contributing to Woxsen’s global academic visibility.
  • Foster a collaborative, interdisciplinary research environment, particularly bridging the School of Business and the School of Technology.

B. Teaching and Mentorship:

  • Design, develop, and teach advanced courses in Business Analytics at the undergraduate, postgraduate (MBA), and doctoral levels. Potential topics include Predictive Analytics, Machine Learning for Business, AI Strategy, and Big Data Technologies.
  • Provide high-quality supervision and mentorship to Ph.D. students and master's candidates, guiding their research to successful and impactful completion.
  • Deliver specialized workshops and modules for Executive Education, empowering industry leaders with cutting-edge analytics skills using tools like Python, R, SQL, and Tableau.
  • Champion innovative, hands-on pedagogy, incorporating real-world datasets, industry case studies, and live projects into the curriculum.

C. Leadership and Institutional Service:

  • Provide intellectual and strategic leadership for the Business Analytics domain within the School of Business and across the university.
  • Play a central role in curriculum design and program development to ensure Woxsen remains at the forefront of analytics education.
  • Build and maintain strong relationships with leading companies in the technology, consulting, and finance sectors to facilitate student internships, placements, and collaborative research.
  • Serve as a public intellectual for the university, offering expert commentary and thought leadership on the role of data and AI in the modern economy.
  • Actively participate in faculty governance, university committees, and strategic initiatives that advance Woxsen's mission.


4. Qualifications and Experience


Essential:

  • A Ph.D. from a globally recognized university in Business Analytics, Data Science, Information Systems, Computer Science, Statistics, or a closely related quantitative field.
  • A minimum of 10 years of post-Ph.D. teaching and/or research experience, with a distinguished record appropriate for appointment at the Professor rank.
  • An exceptional and sustained publication record in top-tier, internationally recognized academic journals.
  • A proven history of attracting and managing external research grants.
  • Demonstrated excellence in teaching at the university level, with experience in supervising doctoral students to completion.
  • An established international reputation and a robust professional network in the field of data science and analytics.

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