Professor of Artificial Intelligence & Applied Analytics

Position Overview

Professor of Artificial Intelligence & Applied Analytics

advanced analytics, artificial intelligence, and managerial decision-making

commensurate with academic stature and research record

Core Domains of Interest

(One or more areas, broadly construed)

• AI for Business Decision-Making
• Applied Machine Learning & Predictive Analytics
• Generative AI and Large Language Models in Organizations
• Algorithmic Strategy, Pricing, and Optimization
• AI Governance, Risk, and Ethics for Enterprises
• Marketing Analytics, Customer Intelligence, and Personalization
• Financial Analytics, FinTech, and AI in Capital Markets
• Operations, Supply Chain, and Process Analytics
• Data-Driven Leadership and Digital Transformation

Responsibilities

Research & Thought Leadership

• Maintain an

  internationally visible research program

  in AI, analytics, or data-driven management
• Publish in

  top-tier journals

  (e.g., Management Science, MISQ, ISR, Journal of Marketing, Journal of Finance, Strategic Management Journal) and/or elite interdisciplinary outlets
• Develop

  practice-facing intellectual capital

  (cases, white papers, industry reports) alongside academic publications
• Lead or contribute to

  externally funded research projects

  , industry-sponsored labs, or analytics centers
• Shape the School's agenda in

  AI, analytics, and digital strategy

Teaching & Curriculum Leadership

• Design and teach

  MBA, Executive MBA, and doctoral-level courses

  in AI, analytics, and data-driven decision-making
• Translate advanced technical concepts into

  managerially actionable frameworks

• Contribute to executive education, corporate programs, and senior leadership workshops
• Mentor doctoral students and junior faculty in analytics-related research

Institutional & External Engagement

• Build partnerships with industry, startups, consulting firms, and policy institutions
• Represent the School at global academic and practitioner forums
• Contribute to academic governance, curriculum innovation, and accreditation-related initiatives

Required Qualifications

• PhD in Business, Analytics, Computer Science, Economics, Statistics, Operations Research, or a closely related field
• Strong publication record or clear trajectory in

  high-quality peer-reviewed journals

• Demonstrated expertise in

  AI, machine learning, or advanced analytics applied to business problems

• Evidence of effective teaching at the graduate or executive level
• Ability to operate comfortably across

  technical depth and managerial relevance

Preferred Qualifications

• Publications in

  FT50 / ABDC A* / ABS 4*

  journals or field-equivalent top outlets
• Experience working with

  industry data, platforms, or applied AI systems

• Prior engagement with consulting, industry research labs, or policy bodies
• Experience in executive education or C-suitelevel teaching
• Leadership experience in research centers, labs, or large projects