Senior Specialist: NMSI Technical Lead

SUMMARY:
The business is looking for a self-motivated individual to manage the National Monitoring Support Initiative project and provide technical leadership for the work on strengthening the company’s monitoring framework; developing a system for reporting.

POSITION INFO:

Qualification and Experience

• Degree in Ecology, Biology, Geographic Information Systems or Data Science or equivalent qualification at NQF 7.
• A postgraduate qualification at NQF 8 will be an added advantage
• 8 years of work experience in the relevant field, 4 years of which should be in first line management position(s).
• Experience and knowledge of spatial and non-spatial data analysis and data science methods and processes, including the use of programming languages (preferably R or python), version control, relational databases, and statistical and spatial analysis methods.
• Experience in data science in the environmental sector – preferably working with biodiversity/environmental-related indicators.
• Proficiency in Microsoft 365 is essential.
• Understanding of research processes and outputs, ideally related to state of biodiversity assessment and reporting.
• Knowledge of international biodiversity related multilateral environmental agreements, such as the Convention on Biological Diversity.
• Project management experience, including coordinating teams of staff and external contributors, and managing donor-funded project finances and reporting to donors.
• Knowledge about government, human resources, procurement, and financial management policies at project level would be an added advantage.

Key Performance Responsibilities

• Manage the donor-funded National Monitoring Support Initiative project finances, governance and reporting.
• Design and implement the monitoring system to ensure effective reporting against the monitoring framework of the GBF and NBSAP.
• Oversee the sourcing, developing and management of data to be utilised for the national biodiversity monitoring system, and manage relationships with data providers.
• Oversee and manage development and implementation of indicator-related data analyses and other workflows; ensure appropriate databasing; ensure correct computation of indicators.
• Implement and drive change, human capital development and transformation.