Associate Dean - Academics

Location: Bengaluru

Job Title:

Associate Dean –Academics - AI

Location:

Dayananda Sagar University, Harohalli Campus
Reporting To:
Vice Chancellor / Pro Vice Chancellor
Type:
Full-Time | Strategic Academic Leadership Role

Experience

Required:

Minimum 15–20 years of academic experience in AI/ML with PHD, with at least 5–7 years in senior academic leadership roles (Dean, Associate Dean, Director, or Academic Head).

Role

Purpose:

The Dean – Academics is a strategic leadership position responsible for architecting and driving the academic vision of the university in the context of the AI-driven, Agentic AI era. The role focuses on creating a multidisciplinary, talent-centered, and future-responsive academic framework that prepares students not just for employment, but for real-world agency, adaptability, and innovation. This includes personalized learning ecosystems, digitally powered delivery models, and curriculum aligned with emerging global challenges and industry evolution.

Educational

Qualifications:

Ph.D. in a relevant field (Engineering, Computer Science, Education Technology, or any allied discipline) from a recognized university.
Exposure to AI, Data Science, Education Innovation, or Future Technologies through formal certification, executive programs, or postdoctoral work is highly desirable.
Proven track record of curriculum design, outcome-based education, and multidisciplinary program development.
Experience in setting up Centres of Excellence, launching industry-integrated programs, or driving ed-tech transformations.
Technical & Strategic Skills Deep understanding of AI in education, including the use of tools like ChatGPT, GenAI platforms, learning analytics, adaptive assessments, and digital pedagogy.
Hands-on experience with LMS, ERP, and education technology ecosystems for academic operations and content delivery.
Knowledge of NEP-2020, SDGs, Viksit Bharat initiatives, and their implications for institutional academic strategy.

Strategic Objectives:
Lead the Transition to an Agentic AI-Ready Campus Envision and implement curriculum frameworks and academic systems that prepare learners to thrive in an environment shaped by Agentic AI—where machines are not only tools but collaborative problem-solvers.
Champion Multidisciplinary Learning Models Drive integration of engineering, healthcare, business, social sciences, and design disciplines into a unified, learner-centric academic architecture inspired by NEP-2020 and global trends.
Design the Talent Discovery, Talent Accelerator Ecosystem :
Institutionalize early student profiling and learning path creation by combining psychometrics, skill mapping, and AI tools—enabling outcome-focused, talent-first education.
Integrate GPT and AI Co-Pilots in

Education:

Develop policies, pedagogy, and content delivery that actively use LLMs and AI agents like ChatGPT for co-creation, tutoring, research, and assessments—based on your own extensive use and experimentation with AI in academic leadership.
Enable Curriculum Innovation and Personalization :
Build modular, AI-first curricula that support micro-credentials, role-readiness courses, capstone projects, and RTD (Ready-to-Deploy) outcomes.
Build Centres of Excellence for Emerging Tech Oversee the setup of multidisciplinary Centres of Excellence (CoEs) in AI, Genomics, Sustainability, Digital Health, etc., driving innovation and real-world research.
Digital Academic Operations & Governance :
Transform traditional academic workflows using LMS, ERP, analytics dashboards, and AI-based decision systems for real-time visibility and governance.
Industry-Integrated, Role-Based Learning Design:
Collaborate with industry bodies to design job-role-based learning journeys mapped to certifications, internships, dual mentorship, and talent pipelines.
Elevate Faculty into Future Learning Architects Facilitate capacity-building for faculty to become AI-fluent mentors and learning designers who co-create knowledge with students using tools like GenAI.
Thought Leadership & Knowledge Diplomacy Represent the university in national and international forums (COP, AI summits, NEP implementation panels) while publishing frameworks, models, and case studies on…