Director AI and Data Science NAMTECH Gandhinagar Recruitment

The search for a visionary leader to fill the role of Director AI and Data Science NAMTECH Gandhinagar is now open for distinguished academic and industry professionals. This prestigious position offers a unique opportunity to shape the future of technology-led, industry-integrated education within a pioneering ecosystem. Specifically, the selected leader will drive the integration of artificial intelligence across mobility, transportation, and manufacturing sectors, fostering a culture of experiential learning and applied research. Consequently, this role is ideal for those dedicated to bridging the gap between academic excellence and industrial application.

Program Highlights

Feature	Details
Program Title	Director – AI and Data Science
Organizing Institution	NAMTECH (New Age Makers Institute of Technology)
Location	Gandhinagar / Ahmedabad, Gujarat
Reporting Authority	Director General
Core Sectors	Mobility, Transportation, Smart Manufacturing
Application Deadline	Rolling Recruitment (Posted Jan 17, 2026)

Program Overview

NAMTECH, an education initiative by ArcelorMittal Nippon Steel India (AM/NS India), stands as a premier institute focused on next-generation engineering education. The Director – AI and Data Science will serve as the founding academic leader, responsible for building and scaling a comprehensive AI ecosystem. This ecosystem is envisioned as a core enabler across undergraduate, postgraduate, and executive education. Furthermore, the program aims to embed digital intelligence into traditional engineering frameworks to meet the evolving needs of the global industry.

The target audience for this leadership outreach includes seasoned academics, research heads, and industry veterans specializing in AI and Data Science. The institute expects the Director to manage a diverse cohort of faculty and researchers while ensuring high-impact student outcomes.

Eligibility Criteria

Candidates aspiring for this leadership role must demonstrate a blend of academic rigor and strategic management capabilities. Specifically, the following qualifications are required:

• Educational Background: A PhD from a reputed national or global university in Computer Science, Artificial Intelligence, Data Science, or Electrical Engineering (AI-focused).
• Professional Experience: A minimum of 20 years of combined experience across academia, research, or industry.
• Leadership Track Record: Proven exposure at the level of Dean, Director, School Head, or Center Head.
• Technical Proficiency: A profound understanding of industrial AI applications, digital transformation, and MLOps.

Curriculum and Areas of Responsibility

The Director will oversee the design and delivery of cutting-edge modules. These areas of focus ensure that the curriculum remains relevant to smart systems and technology-led enterprises:

• Artificial Intelligence and Machine Learning (AI/ML)
• Data Engineering and Advanced Analytics
• Generative AI and Intelligent Systems
• MLOps and Scalable Architectures
• Responsible AI, Data Governance, and Ethical Frameworks

Learning and Institutional Outcomes

Under the Director’s leadership, the institute aims to achieve specific benchmarks in academic and industrial excellence. Participants and students within the AI school will gain:

• Expertise in solving real-world industrial problems through AI-enabled solutions.
• Access to industry-sponsored laboratories and centers of excellence.
• Strong pathways for innovation, entrepreneurship, and career development.
• Exposure to interdisciplinary research involving engineering and management schools.

Registration and Application Details

Interested professionals should submit their applications directly to the recruitment team. Selection is based on academic merit, leadership experience, and alignment with NAMTECH’s strategic vision.

Information	Details
Application Email	Dhara.shah@namtech.ac
Official Website	click here
Mode of Application	Email (Send updated CV and Cover Letter)
Selection Criteria	Peer review, interview, and leadership assessment

Contact Information

For detailed inquiries regarding the role or the institution, please contact:

• Coordinator: Dhara Shah (HR/Recruitment)
• Email: Dhara.shah@namtech.ac
• Institution Address: NAMTECH, Gandhinagar, Gujarat, India.

Key Highlights

NAMTECH distinguishes itself through strong industry-academia collaboration, particularly through its link with ArcelorMittal Nippon Steel India. The institute promotes project-based instruction and live industry immersions, ensuring that research is not just theoretical but commercially viable. Additionally, the focus on “New Age Makers” ensures that students and faculty are equipped with the tools to lead the Fourth Industrial Revolution.

Frequently Asked Questions (FAQs)

What is the primary focus of the Director AI and Data Science NAMTECH Gandhinagar role?
The role focuses on building and scaling an industry-integrated AI and Data Science ecosystem that supports engineering, manufacturing, and mobility programs through research and education.

What is the minimum experience required for this position?
Applicants should have at least 20 years of combined experience in academia, research, or industry, with significant senior leadership exposure.

Does NAMTECH provide opportunities for applied research?
Yes, the Director is expected to drive applied research, AI solution development, and technology commercialization in collaboration with industry partners.

Is a PhD mandatory for this role?
Specifically, a PhD from a reputed national or global university in a relevant field like AI, CS, or Data Science is a core requirement for this academic leadership position.

How can I apply for the Director position?
You should apply by sending your comprehensive CV and professional profile to Dhara.shah@namtech.ac.