Location: Various regions Tanzania
Reports to: Data Management Analyst
Project Summary: The Public-Private Partnership for Artificial Insemination Delivery (PAID)
The Public-Private Partnership for Artificial Insemination Delivery (PAID) program, implemented by Land O’Lakes International Development Fund, is a 5-year project that will address genetics constraints to dairy productivity growth in Arusha/Kilimanjaro, Tanga, Southern Highland, Coastal and Lake zone milk sheds of Tanzania by strengthening artificial insemination (AI) delivery through public-private partnerships (PPPs). PAID will establish financially sustainable private channels and more efficient and effective government channels for delivery of AI and related dairy cattle development services, and stimulate significant private investments leading to the inclusive growth of East Africa’s dairy sector.
Land O’Lakes, together with Tanzanian government and selected dairy genetics firms, will work collaboratively to achieve PAID’s objectives: 1) Strengthen local capacity for doorstep delivery of reliable AI services; 2) Support, incentivize, and monitor the performance of 300 private AI service providers who will provide technical training on improved dairy cow management to at least 84,500 smallholders and deliver approximately 1 million AI services and other dairy production inputs and services; and 3) Enable the National AI Center (NAIC) to ramp up their production and distribution of quality frozen semen (including crossbred semen).
PAID has trained farmers in the target regions on improved dairy husbandry practices and the benefits of using AI for breeding. When farmers improve their dairy husbandry practices, it improves the health and comfort of the cows, and thus they are more able to become pregnant through AI. The purpose of the data collection is to understand the impact of PAID’s farmer training and advice from AI technicians on the dairy husbandry practices of target farmers. This data collection assignment will collect dairy husbandry information from a random sample of farmers that have received AI services from PAID supported AI technicians. Data on farm practices around dairy cattle management will be compared with data collected at farmer registration to measure improved practices over time.
The enumerators will work with the project Data Management Analyst (DMA) to collect quantitative data using household questionnaires from farmers who received AI services and PAID supported farmer training.
Tasks & Responsibilities:
- Attend a training, review and understand the data collection tools
- Conduct tool pre-testing in the field and review
- Perform household data collection
§ Degree or Diploma in Animal Breeding, Animal Production, Agricultural Extension or another related field.
§ Broad knowledge of livestock/dairy and agriculture issues in Tanzania required.
§ Substantial experience in household surveys especially in livestock related studies.
§ Demonstrated capacity in research methods including knowledge of quantitative data collection.
§ Experience working for international donors.
§ Fluency in English & Swahili required.