Chief Academic Officer

About the RoleWe are looking for an experienced academic leader to lead an interdisciplinary higher-education vertical spanning Artificial Intelligence, Robotics, Industrial IoT, Automation, Building Management Technology and Applied AI.The ideal candidate will bring a strong combination of academic leadership, statutory compliance, research, industry exposure, technology expertise and institutional management.This is a senior leadership role requiring demonstrated experience across both academic governance and industry/technology environments.Key ResponsibilitiesLead academic planning, governance and quality across multiple technology-focused programmes.Own curriculum design, academic standards, outcome-based education and CO–PO attainment.Lead AICTE approvals, compliance, accreditation preparation and university/statutory coordination.Drive NBA/NAAC readiness, documentation and audit compliance.Lead faculty recruitment, development, appraisal and competency-building initiatives.Oversee technology-enabled laboratories, industry/OEM-linked academic delivery and laboratory utilisation.Build and manage industry partnerships for curriculum development, certifications, internships, live projects and placements.Lead research, publications, doctoral supervision, funded research proposals and IP development.Drive placement outcomes, industry engagement and executive/corporate education initiatives.Manage academic budgets, operational risks and resource planning.Mandatory EligibilityPh.D. in a relevant discipline such as AI, Computer Science, Electronics, Electrical, Instrumentation, Mechatronics, Mechanical, Industrial Engineering, Building Services or Technology-focused Management.First Class or equivalent at Bachelor's or Master's level, with relevant M.E./M.Tech. or two-year full-time MBA/PGDM where applicable.Minimum 10 years of combined teaching, research and industry experience.Minimum 3 years at Associate Professor level or above.Minimum 10 research publications in SCI, Scopus or UGC-CARE listed journals.Demonstrated Ph.D. supervision experience or recognised doctoral guide status.Minimum 3 years of industry, consulting or corporate leadership experience.Essential Dual-Track ExperienceCandidates must demonstrate both:Industry & TechnologyIndustrial automation, AI deployment, robotics, IIoT or building automation experience.Exposure through an automation OEM, system integrator, manufacturing environment, facilities operation or technology consultancy.Academic & ManagementLeadership of an academic department, school, programme or accreditation cycle.Experience with faculty, academic outcomes, budgets and/or accreditation responsibilities.Ideal CandidateA strategic academic leader who can combine academic governance and research excellence with practical technology, industry engagement and institutional/business leadership.Interested candidates can apply with their updated CV