Lead faculty – computer science & it

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 innovative 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 Dev Ops 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.