Position Summary

The Lead SME – Computer Science & Information Technology will provide academic and technical leadership for the design, development, and continuous enhancement of industry-aligned technology programs delivered through the College Connect business.

The role is responsible for driving curriculum excellence, mentoring Subject Matter Experts and trainers, strengthening industry-academia collaboration, and ensuring that technology programs remain contemporary, outcome-driven, and aligned with evolving industry requirements.

The incumbent will work closely with universities, academic leadership, internal product teams, and technology experts to create cutting-edge learning experiences that prepare engineering students for emerging careers in Information Technology.

Key Responsibilities

Academic Leadership

- Lead the academic design and continuous enhancement of Computer Science and Information Technology programs.
- Drive curriculum modernization aligned with NEP, Outcome-Based Education (OBE), AICTE guidelines, and industry expectations.
- Define learning pathways that integrate theoretical concepts with practical and experiential learning.
- Establish academic quality standards across all technology programs.

Curriculum Development & Academic Governance

- Review and validate curriculum, laboratory manuals, practical exercises, projects, assessments, and learning resources.
- Ensure alignment of learning outcomes with Course Outcomes (COs), Program Outcomes (POs), Bloom's Taxonomy, and graduate attributes.
- Introduce emerging technology topics into existing programs to enhance learner employability.
- Ensure academic rigor and consistency across technology courses.

Faculty & Trainer Development





- Mentor internal Subject Matter Experts and technology trainers on pedagogy, instructional methodologies, and learner engagement.
- Conduct Faculty Development Programs (FDPs), Train-the-Trainer (TTT) sessions, and academic workshops.
- Build faculty capability in emerging technologies, project-based learning, and industry-oriented teaching practices.
- Support continuous professional development of the academic delivery team.

Industry-Academia Collaboration

- Work closely with universities, engineering colleges, and academic leadership to understand curriculum requirements and institutional priorities.
- Participate in curriculum advisory boards, academic review meetings, and institutional engagements.
- Recommend industry-aligned projects, certifications, hackathons, internships, and experiential learning initiatives.
- Bridge the gap between academic curriculum and industry expectations through innovative learning interventions.

Academic Innovation

- Drive adoption of innovative pedagogical approaches including flipped classrooms, project-based learning, virtual laboratories, coding challenges, and experiential learning.
- Promote research-driven teaching methodologies and continuous curriculum innovation.
- Track emerging technologies and recommend integration into academic programs.




- Encourage interdisciplinary learning and technology innovation among students.

Cross-functional Collaboration

- Collaborate with Product, Content, Delivery, Assessment, and Customer Success teams to ensure successful implementation of technology programs.
- Provide academic guidance during customer discussions and curriculum consultations with partner institutions.
- Support development of academic proposals, program structures, and institutional learning solutions.

Functional Expertise

Strong academic and technical expertise across one or more of the following domains:

- Computer Programming
- Data Structures & Algorithms
- Object-Oriented Programming
- Database Management Systems
- Operating Systems
- Computer Networks
- Software Engineering
- Artificial Intelligence & Machine Learning
- Data Science
- Cloud Computing
- Cyber Security
- DevOps
- Full Stack Development

Department: Academic Excellence – Technology Programs

Location: Chennai (Work From Office)

Educational Qualifications

- Bachelor's Degree in Computer Science / Information Technology / Computer Engineering (Mandatory)
- Master's Degree (M.E./M.Tech./M.S.) in Computer Science / Information Technology (Mandatory)
- Ph.D. in Computer Science / Information Technology / Related Discipline (Preferred)

Experience Required: 20+ Years

Candidates with experience as Professor, Senior Professor, Head of Department, Dean, Academic Coordinator, or Academic Leader from reputed universities, engineering institutions, or higher education organizations will be preferred.

Industry-academia collaboration and curriculum development experience will be an added advantage.

📌 Lead Faculty – Computer Science & It (India)
🏢 L&T EduTech
📍 India