A fundamental government responsibility is to use information to improve the delivery of public services to citizens. The a2i programme, in collaboration with the Bloomberg Data for Health Initiative, is supporting a multi-year project -- Fostering Data Innovation to Strengthen Evidence-based Decision Making for Health in Bangladesh – to develop new approaches to leverage data to make public health policies and programs more effective.
This project will focus on creating an Advanced Data Analytics Unit within Bangladesh’s Directorate General for Health Services (DGHS). DGHS has relatively well-developed systems for tracking routine health data from its extensive network of public hospitals and clinics. Although DGHS has many strengths in its use of data in decision-making, one limiting factor is the lack of a dedicated analytic nerve center that could drive efforts and sustain momentum on various data projects and integrate their results into DGHS’ core processes for making programmatic, operational and strategic decisions. This project’s Advanced Data Analytics Unit will help address this challenge. The Advanced Data Analytic Unit will advance three objectives:
‘Aspire to Innovate (a2i) Programme’ is recruiting a National Consultant (Data Science and Policy) to support the development of data-driven responses to high-priority public health challenges (Objective 1). Reporting to the Program Coordinator (Team Head) and under the strategic direction of a2i’s Results Management and Data Specialist, the incumbent will [a] develop and complete analytic plans that yield proposals to improve public health outcomes; [b] build support for action on policy proposals by conducting executive briefings and stakeholder outreach activities; and [c] develop and execute a strategy to enhance DGHS’ organizational capacity for data-driven policy development process.
The project is funded by the Government of Bangladesh, UNDP and other development partners, and is implemented by the ICT Division and Cabinet Division.
Objectives
The overall objective of the assignment are following:
Scope of work and expected outputs / deliverables:
The assignment will focus on the following areas and activities
Conduct policy analysis to produce proposals to improve public health outcomes
Identify and model impact of potential policy/programmatic responses
Build analytical support for proposals for better decision making
Enhance organizational capacity for data driven policy development
Identify required organizational actions (changes in process, implementation of targeted capacity enhancement activities, etc.)
Deliverables
No of Working Days
Developed 1 analytical plan to address data sources and use of analytic methods.
20 days of Contract Signing
Analyzed 1 analytical dataset based on the developed analytical plan.
40 days of Contract Signing
Developed 1 action plan for SDG reporting and data analytics
60 days of Contract Signing
Developed 1 static and interactive report for the stakeholders
80 days of Contract Signing
Organized 1 briefing with influential decision-makers to synthesize implications of analytic findings for action
100 days of Contract Signing
Organized 1 capacity building training/workshop for the team members on mortality data analysis
120 days of Contract Signing
Conducted 1 CRVS analytical data sharing workshop
140 days of Contract Signing
Developed a policy foundation to develop analytic plan
160 days of Contract Signing
Developed a road map for institutionalizing data-driven policy development in DGHS.
180 days of Contract Signing
Organized a cross agency workshop for feedback on road map
Drafted a protocol defining roles and responsibilities of key units/individuals.
200 days of Contract Signing
Supervision and Performance Evaluation.
The National Consultant (Data Science and Policy) will be working with A2i, the UNDP Research Unit. S/he will be working under supervision of the Results Management and Data Specialist of a2i Programme who will be responsible for reviewing the performance and approve the deliverables of the incumbent.
Timeframe and deadlines:
The assignment will be for 200 Working days for over 10 months.
Reports:
The incumbent will be paid on deliverables basis. The incumbent will be paid in 10 installments, after completing each of the activities.
Duty Station: Dhaka
Corporate Competencies:
Functional Competencies:
Development and Operational Effectiveness
Management and Leadership
Knowledge Management and Learning
Language Required: Fluency in speaking and writing in English
Academic Qualifications:
Experience:
Cumulative analysis-
The award of the contract will be made to the individual consultant up on Cumulative Analysis/evaluation and determined as:
Only candidates obtaining a minimum 70% mark in technical evaluation will be considered eligible for financial evaluation.
Technical Evaluation Criteria (Total 70 marks)
Financial Evaluation (Total 30 marks)
All technical qualified proposals will be scored out 30 based on the formula provided below. The maximum points (30) will be assigned to the lowest financial proposal. All other proposals received points according to the following formula:
p = y (µ/z)
where:
The financial proposal shall specify a total lump sum amount, and payment terms around specific and measurable (qualitative and quantitative) deliverables (i.e. whether payments fall in installments or upon completion of the entire contract). Payments are based upon output, i.e. upon delivery of the services specified in the TOR. In order to assist the requesting unit in the comparison of financial proposals, the financial proposal will include a breakdown of this lump sum amount (including travel, per diems, and number of anticipated working days).
Financial Milestone
Deliverables
Percentage
Developed 1 analytical plan to address data sources and use of analytic methods.
10%
Analyzed 1 analytical dataset based on the developed analytical plan.
10%
Developed 1 action plan for SDG reporting and data analytics
10%
Developed 1 static and interactive report for the stakeholders
10%
Organized 1 briefing with influential decision-makers to synthesize implications of analytic findings for action
10%
Organized 1 capacity building training/workshop for the team members on mortality data analysis
10%
Conducted 1 CRVS analytical data sharing workshop
10%
Developed a policy foundation to develop analytic plan
10%
Developed a road map for institutionalizing data-driven policy development in DGHS.
10%
Organized a cross agency workshop for feedback on road map
Drafted a protocol defining roles and responsibilities of key units/individuals.
10%
DOCUMENTS TO BE INCLUDED WHEN SUBMITTING THE PROPOSALS
Interested individual consultants must submit the following documents/information to demonstrate their qualifications:
Proposal
http://www.bd.undp.org/content/dam/bangladesh/docs/Jobs/Interest%20and%20Submission%20of%20Financial%20Proposal-Template%20for%20Confirmation.docx
This vacancy is archived.