Posted on :
16 Apr, 2019
16 Apr, 2019
Ignitia is recruiting a Chief Operating Officer to work from our offices in Accra, Ghana.We are growing quickly and are looking for a COO to help keep Ignitia running like clockwork and someone who can grow with the company to grasp its enormous potential.
As the COO, your main responsibility will be managing our operations across West Africa and Europe. We are a young and multicultural team. You will be responsible for updating and implementing Ignitia’s operations, and allocating resources effectively across teams and offices. At heart you are a people-person and a details-person, ensuring we reach our goals on time and on budget. You will also be responsible for organising and implementing current project work plans, and ensuring that on the ground operations run smoothly.
This role will play an important part in leading our operational success, growth, and expansion into new markets. We are looking for a highly organised individual capable of overseeing various teams including the operations team, communications team, and technical team in day-to-day business and for our projects across West Africa. You will be a natural communicator who is approachable, interested in the work of others and able to motivate your teams to hit targets and maintain a consistently high standard.
Job Description
Job Title: Chief Operating Officer
Requirements
Job Duties:
Experience:
Personal skills:
Benefits
About Ignitia
Ignitia is a high-technology company and social enterprise that has recently developed the world’s first highly accurate tropical weather forecast model. We serve small-scale farmers in West Africa by sending a daily forecast provided in partnership with major telecommunication firms and agricultural B2B organisations.
We started in 2010 as a new research team in physics & meteorology, gathered from different renowned universities and research institutions such as NASA. We set out to tackle the difficult problem of accurately predicting weather in the tropics. It wasn’t easy.
After years of painstaking efforts in developing the algorithms and model, we finally had something we wanted to test in the field. Our first trial in 2013 offered 3,400 small-scale farmers in Ghana seasonal, monthly and daily weather forecasts. A mere eight farmers opted out of the service during the season and our accuracy rate was measured at 82%, as compared to the current standard of 39%.
We made it – a reliable tropical weather forecast was born!
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