Technical Assistance Consultant
Dar Es Salaam, Tanzania

We are searching for an experienced, Independent Technical Assistance Consultant to provide Technical Assistance (TA) in Piloting the Integration of Population Evidence into Subnational Planning and Budgeting in Tanzania

About Palladium:

Palladium is a global company working to design, develop and deliver positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world. We operate in over 90 countries and have a workforce of 4,000 talented, motivated, and diverse staff of all religions, races, languages, and gender identities.

Programme Information:

The Women’s Integrated Sexual Health (WISH)-Dividend programme is FCDO’s flagship sexual and reproductive health and rights (SRHR) investment in Africa, with three components: WISH2, Policy and Systems (P&S), and Evidence and Learning.
WISH P&S is a demand-led, problem-driven technical assistance (TA) programme supporting governments to tackle policy, financing, and institutional bottlenecks that constrain progress on human development, with a focus on demographic transition (DT) and SRHR outcomes. WISH P&S – delivered by Palladium and its consortium partners PRB, Engender Health, and BBC Media Action – works closely with FCDO Posts to agree its government-aligned TA priorities and delivers using problem-driven iterative adaptation, with a focus on testing, learning, and adapting.

Technical assistance goal and objective(s)

The overall goal of this TA is to strengthen the integration and routine use of population evidence within subnational planning and budgeting processes in at least two ways: (i) to generate service demand; and (ii) anticipate/project the impact of current demographic trends on desired outcomes (e.g., economic growth), identifying investments needed to influence those trajectories.

Objectives:

• Map and understand LGA planning and budgeting processes, including key decision points, actors, and data requirements.
  
• Identify practical and behavioural barriers limiting the use of population data in planning and budgeting decisions.
  
• Design, test, and refine simple, actionable guidance that enables LGA planners to integrate demographic evidence into routine planning.

Key outputs/results expected

Outputs

• Practical, LGA-tested tool(s) integrating population evidence into planning and budgeting processes.
  
• Documentation of pilot implementation, user feedback, and lessons learned.
  
• Assessment of pilot success criteria, including usability, uptake, feasibility, and institutionalisation considerations
  
• Scale-up recommendations for wider adoption by LGAs.
  

Expected Outcomes:

• Increased use of demographic data in planning and budgeting decision within pilot LGAs.
  
• Improved consideration of population dynamics within resource allocation and service delivery planning.
  
• Evidence on feasibility and effectiveness of integrating population evidence at subnational level to inform scale-up.

Experience and skills required:

• Strong experience in public sector planning and budgeting (preferably subnational)
  
• Expertise in population/demographic analysis and its policy application
  
• Demonstrated experience working with local government planning and budgeting processes in Tanzania.
  
• Experience working with Tanzanian government systems or similar contexts
  
• Strong qualitative research and stakeholder engagement skills
  
• Experience in developing practical tools or guidance for government use
  
• Excellent analytical, facilitation, and communication skills

 Submission Documents:

• A copy of your updated CV
  

• A summary of:

           How would you approach this assignment?

           What will be the key activities and their timeline?

           Who are the key stakeholders of this engagement? 

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.