Learning Community Experience Fellow at ALX Africa

ROLE SUMMARY

• As a Learning Experience Fellow at ALX, you will be instrumental in shaping the future of education in Africa. The data programmes equip learners with the skills and knowledge needed to succeed in today’s data-driven world. They learn to leverage powerful tools to analyse complex datasets, uncover valuable insights, and make data-based decisions. This role combines advanced data expertise with educational leadership to deliver transformative learning experiences. You will be responsible for managing data programs, implementing analytics solutions, and building technical capabilities among learners. The ideal candidate brings strong technical skills in data analytics, experience in educational leadership, and a passion for developing the next generation of data professionals in Africa. Read more about the data programmes here.

KEY RESPONSIBILITIES:

Program Leadership:

• Own the end-to-end lifecycle of the data programs (data science, data analytics, data engineering), from enrollment to Karibu, community management, learner experience and engagement, tracking, advocacy and support, to Tambali and a seamless handover to alumni. .
• Collaborate cross-functionally within the Lagos City Team, City Teams as a whole, Central program teams, and then Talent Readiness, Talent Experience, Selection, Brand, etc., to ensure program alignment with ALX's strategic goals.
• Drive continuous improvement in program delivery with the north star being graduation, leveraging data-driven insights to optimize learner experiences.

Community Building & Technical Mentorship:

• Foster a strong data learning community that encourages collaboration and knowledge sharing
• Organize technical workshops, hackathons, and data projects to enhance practical skills
• Mentor learners in advanced data analytics and visualization techniques
• Lead team projects and guide learners through technical challenges
• Create opportunities for peer learning and technical skill development

Data Analytics and Visualization:

• Design and implement comprehensive data analytics solutions for tracking program performance
• Create automated dashboards and reporting systems for monitoring learner progress
• Develop and maintain visualization tools to communicate program metrics effectively
• Train learners in using various data processing and visualization tools
• Implement data quality controls and validation processes

Operational Excellence:

• Oversee the day-to-day operations of your program, including scheduling, upholding codes of conduct, resource allocation, and financial stewardship..
• Ensure adherence to ALX's operational standards and processes.
• Collaborate with the technical team to troubleshoot any technical issues and maintain a seamless learning experience.

REQUIRED QUALIFICATIONS

• Minimum 5 years of work experience in data analytics, education, or program management
• Strong technical background in data analysis and visualization
• Experience with dashboard development and automation
• Proven track record in team leadership and project management
• Bachelor's degree in Data Science, Analytics, or a related field
• Expertise in data processing tools and programming languages

ESSENTIAL QUALITIES

• Demonstrated bias for action with examples of taking initiative to solve complex problems
• History of delivering excellence through measurable outcomes
• Strong analytical and critical thinking skills with data-driven decision-making
• Experience in building and managing learning communities
• Proven ability to lead and mentor teams

PERSON SPECIFICATION/ATTRIBUTES

• Courage: Willingness to speak up, challenge the status quo, and embrace new challenges.
• Humility: Openness to learning, seeking help when needed, and a focus on serving others.
• Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey.
• Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond.
• Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger.
• Qualified candidates should demonstrate a bias for action, strong analytical capabilities, and a passion for education.