International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 4 2025
DOI: 10.56201/ijemt.vol.11.no4.2025.pg380.393


A Conceptual Framework for Scaling Technical Leadership and Mentorship in Remote Software Engineering Teams

Oluwasanmi Segun Adanigbo, Denis Kisina, Andrew Ifesinachi Daraojimba, Samuel, Owoade, Nneka Adaobi Ochuba, Toluwase Peter Gbenle


Abstract


The rise of remote work has revolutionized software engineering, presenting both unique challenges and significant opportunities for technical leadership and mentorship. As organizations increasingly adopt remote work models, it is crucial to scale leadership and mentorship practices to ensure the continued development of teams. This paper presents a conceptual framework for scaling technical leadership and mentorship within remote software engineering teams. The framework addresses key challenges such as communication barriers, maintaining consistent quality, and preventing burnout, while proposing strategies like clear communication channels, structured mentorship programs, and the effective use of collaborative tools. It emphasizes the integration of leadership development, mentorship structures, and technology to support both the technical and interpersonal growth of team members. The framework aims to enhance team productivity, foster professional growth, and ensure long-term sustainability in remote work environments. The paper concludes by suggesting areas for future research, including the role of emerging technologies in remote leadership and mentorship practices.


keywords:

Remote Software Engineering, Technical Leadership, Mentorship Programs, Team Collaboration, Leadership Development, Remote Work Challenges


References:


[1]
F. U. OJIKA, W. O. OWOBU, O. A. ABIEBA, O. J. ESAN, B. C. UBAMADU, and
A. IFESINACHI, 'Optimizing AI Models for Cross-Functional Collaboration: A
Framework for Improving Product Roadmap Execution in Agile Teams,' 2021.
[2]
J. P. Onoja, O. Hamza, A. Collins, U. B. Chibunna, A. Eweja, and A. I. Daraojimba,
'Digital Transformation and Data Governance: Strategies for Regulatory Compliance
and Secure AI-Driven Business Operations,' 2021.
[3]
A. S. Adebayo, N. Chukwurah, and O. O. Ajayi, 'Proactive Ransomware Defense
Frameworks Using Predictive Analytics and Early Detection Systems for Modern
Enterprises.'
[4]
E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, E. D. Balogun, and K.
O. Ogunsola, 'Enhancing Data Security with Machine Learning: A Study on Fraud
Detection Algorithms,' Journal of Data Security and Fraud Prevention, vol. 7, no. 2,
pp. 105-118, 2021.
[5]
D. Ajiga, L. Ayanponle, and C. Okatta, 'AI-powered HR analytics: Transforming
workforce optimization and decision-making,' International Journal of Science and
Research Archive, vol. 5, no. 2, pp. 338-346, 2022.
[6]
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika,
'Integrating AI, Blockchain, and Big Data to Strengthen Healthcare Data Security,
Privacy, and Patient Outcomes,' 2022.
[7]
O. Akinsooto, E. O. Ogunnowo, and C. C. Ezeanochie, 'The Evolution of Electric
Vehicles: A Review of USA and Global Trends.'
[8]
P. Adepoju, B. Austin-Gabriel, Y. Hussain, B. Ige, O. Amoo, and N. Adeoye,
'Advancing zero trust architecture with AI and data science for,' 2021.
[9]
D. OSAMIKA, B. S. ADELUSI, M. CHINYEAKA, A. Y. M. KELVIN-AGWU, and
N. IKHALEA, 'Artificial Intelligence-Based Systems for Cancer Diagnosis: Trends
and Future Prospects,' 2022.
[10]
C. O. Ozobu, F. E. Adikwu, O. Odujobi, F. O. Onyekwe, and E. O. Nwulu, 'A
conceptual model for reducing occupational exposure risks in high-risk manufacturing
and petrochemical industries through industrial hygiene practices,' International
Journal of Social Science Exceptional Research, vol. 1, no. 1, pp. 26-37, 2022.
[11]
A. Y. Mustapha, N. Ikhalea, E. C. Chianumba, and A. Y. Forkuo, 'Developing an AI-
Powered Predictive Model for Mental Health Disorder Diagnosis Using Electronic
Health Records,' 2022.
[12]
O. Ogunwole, E. C. Onukwulu, N. J. Sam-Bulya, M. O. Joel, and G. O. Achumie,
'Optimizing Automated Pipelines for Real-Time Data Processing in Digital Media and
E-Commerce,' Int J Multidiscip Res Growth Eval, vol. 3, no. 1, pp. 112-20, 2022.
[13]
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika,
'Framework for Using Behavioral Science and Public Health Data to Address
Healthcare Inequality and Vaccine Hesitancy,' 2023.
[14]
E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, E. D. Balogun, and K.
O. Ogunsola, 'Real-Time Data Analytics for Enhancing Supply Chain Efficiency,'
Journal of Supply Chain Management and Analytics, vol. 10, no. 1, pp. 49-60, 2023.
[15]
D. C. Ayodeji, I. Oyeyipo, V. Attipoe, N. J. Isibor, and B. A. Mayienga, 'Analyzing
the challenges and opportunities of integrating cryptocurrencies into regulated financial
markets,' International Journal of Multidisciplinary Research and Growth Evaluation,
vol. 4, no. 06, pp. 1190-1196, 2023.
[16]
B. S. ADELUSI, D. OSAMIKA, M. CHINYEAKA, A. Y. M. KELVIN-AGWU, and
N. IKHALEA, 'Integrating Wearable Sensor Data with Machine Learning for Early
Detection of Non-Communicable Diseases,' 2023.
[17]
F. E. ADIKWU, C. O. OZOBU, O. ODUJOBI, F. O. ONYEKWE, and E. O. NWULU,
'Advances in EHS Compliance: A Conceptual Model for Standardizing Health, Safety,
and Hygiene Programs Across Multinational Corporations,' 2023.
[18]
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika,
'Exploring the Role of AI and Machine Learning in Improving Healthcare Diagnostics
and Personalized Medicine,' 2023.
[19]
E. Kamau, T. Myllynen, A. Collins, G. O. Babatunde, and A. A. Alabi, 'Advances in
Full-Stack Development Frameworks: A Comprehensive Review of Security and
Compliance Models,' 2023.
[20]
O. O. Ogbuagu, A. O. Mbata, O. D. Balogun, O. Oladapo, O. O. Ojo, and M. Muonde,
'Optimizing supply chain logistics for personalized medicine: Strengthening drug
discovery, production, and distribution,' International Journal of Multidisciplinary
Research and Growth Evaluation, vol. 4, no. 1, pp. 832-841, 2023.
[21]
E. Ogunnowo, D. Awodele, V. Parajuli, and N. Zhang, 'CFD Simulation and
Optimization of a Cake Filtration System,' in ASME International Mechanical
Engineering Congress and Exposition, 2023, vol. 87660: American Society of
Mechanical Engineers, p. V009T10A009.
[22]
A. Y. Mustapha, N. Ikhalea, E. C. Chianumba, and A. Y. Forkuo, 'A Model for
Integrating AI and Big Data to Predict Epidemic Outbreaks,' 2023.
[23]
D. Nyangoma, E. M. Adaga, N. J. Sam-Bulya, and G. O. Achumie, 'Market Trend
Analysis as a Strategic Tool for Workforce Development Programs: A Data-Driven
Conceptual Model,' planning, vol. 7, p. 9, 2023.
[24]
O. Ogunwole, E. C. Onukwulu, M. O. Joel, E. M. Adaga, and A. Ibeh, 'Modernizing
Legacy Systems: A Scalable Approach to Next-Generation Data Architectures and
Seamless Integration,' International Journal of Multidisciplinary Research and
Growth Evaluation, vol. 4, no. 1, pp. 901-909, 2023.
[25]
J. O. OJADI, E. C. ONUKWULU, C. SOMTOCHUKWU, and O. A. O. ODIONU,
'Natural Language Processing for Climate Change Policy Analysis and Public
Sentiment Prediction: A Data-Driven Approach to Sustainable Decision-Making,'
[26]
C. Okolie, O. Hamza, A. Eweje, A. Collins, G. Babatunde, and B. Ubamadu, 'Business
process re-engineering strategies for integrating enterprise resource planning (ERP)
systems in large-scale organizations,' International Journal of Management and
Organizational Research, vol. 2, no. 1, pp. 142-150, 2023.
[27]
E. C. Onukwulu, J. E. Fiemotongha, A. N. Igwe, and C. Paul-Mikki, 'The Role of
Blockchain and AI in the Future of Energy Trading: A Technological Perspective on
Transforming the Oil & Gas Industry by 2025,' Methodology, vol. 173, 2023.
[28]
F. U. OJIKA, O. ONAGHINOR, O. J. ESAN, A. I. DARAOJIMBA, and B. C.
UBAMADU, 'A Predictive Analytics Model for Strategic Business Decision-Making:
A Framework for Financial Risk Minimization and Resource Optimization,' 2023.
[29]
F. U. Ojika, W. O. Owobu, O. A. Abieba, O. J. Esan, B. C. Ubamadu, and A. I.
Daraojimba, 'Transforming Cloud Computing Education: Leveraging AI and Data
Science for Enhanced Access and Collaboration in Academic Environments,' 2023.
[30]
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, and A. Y. Forkuo, 'NLP Models for
Extracting Healthcare Insights from Unstructured Medical Text.'
[31]
B. O. Otokiti, A. N. Igwe, C. P.-M. Ewim, A. I. Ibeh, and Z. S. Nwokediegwu, 'A
conceptual framework for financial control and performance management in Nigerian
SMEs,' Journal of Advance Multidisciplinary Research, vol. 2, no. 1, pp. 57-76, 2023.
[32]
C. O. Ozobu, F. E. Adikwu, O. Odujobi, F. O. Onyekwe, E. O. Nwulu, and A. I.
Daraojimba, 'Leveraging AI and Machine Learning to Predict Occupational Diseases:
A Conceptual Framework for Proactive Health Risk Management in High-Risk
Industries,' 2023.
[33]
C. O. Ozobu, F. O. Onyekwe, F. E. Adikwu, O. Odujobi, and E. O. Nwulu, 'Developing
a National Strategy for Integrating Wellness Programs into Occupational Safety and
Health Management Systems in Nigeria: A Conceptual Framework,' 2023.
[34]
O. T. Uzozie, E. C. Onukwulu, I. A. Olaleye, C. O. Makata, P. O. Paul, and O. J. Esan,
'Sustainable Investing in Asset Management: A Review of Current Trends and Future
Directions,' 2023.
[35]
A. S. Adebayo, O. O. Ajayi, and N. Chukwurah, 'Explainable AI in Rob


DOWNLOAD PDF

Back


Google Scholar logo
Crossref logo
ResearchGate logo
Open Access logo
Google logo