Director – AI and Data Science
Institution: NAMTECH (New Age Makers Institute of Technology)
Location: Gandhinagar / Ahmedabad
Reports To: Director General
About NAMTECH:
NAMTECH is a pioneering institute focused on industry-integrated engineering education. We aim to develop next-generation talent equipped to address the evolving needs of the mobility and transportation sectors through experiential learning, research, innovation and strong Industry-Academia collaboration.
Role Overview
Director – AI & Data Science program will serve as the founding academic and institutional leader of NAMTECH’s AI & Data Science program, responsible for building and scaling a technology-led, industry-integrated AI and data science ecosystem.
AI & Data Science is envisioned as a core enabler across NAMTECH’s engineering, manufacturing, and technology programs, embedding artificial intelligence, data-driven decision-making, and digital intelligence into undergraduate, postgraduate, doctoral, and executive education.
The role requires strong academic credibility, applied AI expertise, and institution-building capability, with a clear focus on industry-relevant education, applied research, and technology deployment.
- Academic & Institutional Leadership
- Provide academic and strategic leadership for AI and data science education across NAMTECH’s technology- and manufacturing-focused programs.
- Shape the positioning of Program AI & Data Science as a practice-oriented, industry-facing, and research-enabled academic unit.
- Align program priorities with the institutional roadmap and the Director General’s academic and research vision.
- Contribute to institutional governance, accreditation preparedness, academic policy formulation, and quality assurance frameworks, particularly in emerging technologies.
- Support and develop national and international academic collaborations in AI, data science, and digital technologies.
- Program & Curriculum Excellence
- Lead the design, delivery, and continuous enhancement of AI and data science programs and modules across:
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- Artificial Intelligence and Machine Learning
- Data Science, Data Engineering, and Advanced Analytics
- Deep Learning, Generative AI, and Intelligent Systems
- AI Systems, MLOps, Deployment, and Scalable Architectures
- Responsible AI, Data Governance, and Ethical Frameworks
- Ensure curriculum relevance aligned with manufacturing, mobility, industrial AI, smart systems, and technology-led enterprises.
- Promote experiential learning, including project-based instruction, industry-led modules, applied research projects, and real-world problem solving.
- Ensure academic rigor, learning outcome alignment, assessment quality, and accreditation readiness across all programs.
- Industry and Applied Innovation
- Build strong partnerships with manufacturing organizations, technology companies, AI firms, startups, research institutions, and industry bodies.
- Enable internships, live projects, industry immersions, co-created programs, and executive education offerings in AI and data science.
- Drive applied research, AI solution development, and technology commercialization aligned with NAMTECH’s focus sectors.
- Establish and support industry-sponsored laboratories, centers of excellence, and innovation hubs within the School.
- Foster entrepreneurship, innovation, and AI-enabled problem solving in collaboration with other technology schools.
- Faculty and Operational Leadership
- Lead the recruitment, mentoring, development, and performance management of faculty, researchers, and academic leaders in AI and data science.
- Encourage interdisciplinary collaboration with engineering, management, and technology schools.
- Oversee budgeting, resource allocation, infrastructure planning, and digital technology resources for the School.
- Support strong student outcomes, including research exposure, industry readiness, innovation pathways, and career development.
Qualifications and Experience
- PhD from a reputed national or global university in Computer Science, Artificial Intelligence, Data Science, Information Systems, Electrical Engineering (AI-focused), or closely related disciplines.
- 20+ years of combined experience across academia, research, and/or industry, with senior leadership exposure at the level of Dean, Director, School Head, Center Head, or equivalent.
- Strong understanding of AI-driven enterprises, digital transformation, industrial applications of AI, and emerging technology ecosystems.
Apply with [email protected]
