Planning Manager - Mpumalanga
Sappi Ngodwana
We’re on the lookout for a Forestry Planning Manager to manage all information aspects relating to the regional plantation growing stock.
As an Forestry Planning Manager, you will be responsible for:
Gather information through enumeration, field surveys, GPS work and other feedback systems and participate in regional operational projects through providing data and measurement systems. Establish and measure permanent sample plots (PSP’s) to determine seasonal and longer term growth patters, as well as for growth and yield planning Update maps. Develop and execute the enumeration plan. Verify enumeration data through structured field checks to ensure accurate data is capture. Monitor and report damage and disease within the Region, adhering to prescribed standards and procedures. Report progress monthly on key statistics (areas, species, harvested and planted, damaged areas and TUP areas). Compile and manage department budget. Ensure that planning data/systems are aligned with other management systems such as Geographic Information System (GIS) and Title Deed System by means of routine update runs and interaction with system owners Manage and develop contractors doing enumeration and GPS work. Manage, mentor and develop subordinates. Manage the training of staff in planning systems such as GIS and Microforest Produce annual plan of operations (APO's) and 5-year Tactical Working Plans, to maintain a balanced fibre supply to the customers using planning software. Produce maps as per foresters and management requests using GIS in order to assist in planning and execution of their work.
Required Minimum Qualifications:
Degree or Diploma in Forestry or related Science qualification 5 years minimum experience in the Forest or related industry with at least 2 years in forestry planning Database management experience will be advantageous Good working knowledge of ArcGIS. Strong computer literacy with in depth working knowledge of MS Office Basic understanding of forest growth and yield modelling and measurement will be advantageous
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