Associate Dean - Academics ( For AI- First World )

Job Title: Associate Dean –Academics ( For AI-First World)

Location: DSU University Campus

Reporting To: Vice Chancellor / Pro Vice Chancellor

Type: Full-Time | Strategic Academic Leadership Role.

Educational Qualifications:

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.

Experience

senior academic leadership roles (Dean, Associate Dean, Director, or Academic Head).

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.

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.

Strategic Objectives:

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 next-generation education models

powered by AI and multidisciplinary thinking.

Ideal Candidate Profile: 20+ years of experience in academia and/or education

leadership, with proven contributions to curriculum design and digital transformation.

Demonstrated understanding and active engagement with AI tools like ChatGPT,

Gemini, Microsoft Copilot , Claude , GenAI platforms, and LMS ecosystems.

Visionary leader with a track record in establishing new-age programs and academic

structures aligned to global trends and national imperatives (NEP-2020, Viksit Bharat,

SDGs).

Strong collaboration skills across disciplines, industry, regulatory bodies, and global

academic networks.

Your Journey with GenAI platforms, & AI as a Foundation: As a leader who has

worked extensively with ChatGPT, Gemini, Microsoft Copilot , Claude , GenAI platforms,

for academic writing, curriculum restructuring, policy design, conference planning, and

research collaboration, your approach uniquely positions you to build a new academic

operating system—one that is AI-native, talent-centric, and globally benchmarked.

This role allows you to scale that vision institutionally and become a thought leader in

defining how education must evolve in the Agentic AI era—from “From “Classroom

Instruction” to “Workforce Transformation.”