Data Governance Specialist

Description of the Assignment:

The long-term success of the Human Papillomavirus (HPV) and Rotavirus vaccination programs in the Philippines depends not only on the availability of vaccines but also on the capacity of national and local stakeholders to effectively plan, finance, implement, monitor, and sustain these efforts. At present, several barriers undermine this capacity, including limited access to reliable and actionable data on local health budgets and expenditures, weak institutional mechanisms for tracking and optimizing health investments, gaps in data governance and data management, and limited integration of relevant private-sector vaccination data into public health information systems.

To address these challenges, the Department of Health (DOH), with technical assistance from UNDP, proposes a comprehensive set of interventions across three interconnected areas at the Local Government Unit level: (1) data analytics, (2) stakeholder capacity building, and (3) public-private collaboration. These interventions seek to promote informed decision-making, strengthen transparency and accountability, improve the monitoring of local health investments, and support the institutionalization of sustainable financing strategies for HPV and Rotavirus vaccination programs.

Strong data governance is foundational for these efforts. Local Health Offices (LHOs) use substantial amounts of data across their planning and day-to-day operations. The absence of formal governance to ensure availability of quality data may hinder the translation of data into actionable insights. This, in turn, may affect the capacity of Local Health Boards (LHBs) to use reliable and timely information for health planning, resource allocation, and decision-making.

In this context, a practical Data Governance Framework for LHOs will be developed to strengthen the institutional foundation for effective data management and use. The framework will address the broader data governance needs of LHOs, while giving particular attention to data supporting health financing and investment planning, including the Special Health Fund (SHF), budget allocation and utilization, Local Investment Plans for Health (LIPH), resource planning, and program performance monitoring. It will also consider data from external stakeholders, particularly private health providers and other private-sector actors involved in vaccination service delivery.

The implementation will cover a total of 10 LGUs (cities/municipalities). From these sites, one pilot LGU will be selected for the in-depth assessment and development of an LHO Data Governance Framework using the existing UNDP Reference LGU Data Governance Framework as a starting point. The resulting framework will subsequently be further refined and deployed in the nine remaining LGUs.

Period of assignment/services: 80 working days spread over six months

Qualifications:

Education

At least with a Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, Economics, Business Administration, or a related field. Relevant certifications (DAMA CDMP, ISO data governance, data management, cybersecurity, privacy, etc.) preferred.

Experience

At least two (2) years of experience in Data Governance, Data Management, and/or Data Security. An advantage if with experience in facilitating policy, operational guidelines, and/or institutional framework development workshops.

At least 1 engagement in government digital transformation, health information systems, data governance, interoperability, or enterprise data management. Experience working with DOH, PhilHealth, DICT, WHO, UNICEF, Gavi, or similar public sector or development organizations is an advantage.

At least one (1) data governance project designed, engaged, and/or implemented.

Provide at least 1 sample works that clearly illustrate direct authorship or lead technical contribution to data governance plans, data governance policies, data stewardship guidelines, data management frameworks, or organizational data governance models. Submitted samples should show concrete outputs such as frameworks, policies, assessment tools, standard operating procedures, or governance manuals.

Language

Fluency in spoken and written English and Filipino as indicated in the CV

Proposal should be submitted directly in the portal no later than indicated deadline. Any request for clarification must be sent in writing via messaging functionality in the portal. UNDP will respond in writing including an explanation of the query without identifying the source of inquiry.

http://supplier.quantum.partneragencies.org using the profile you may have in the portal. In case you have never registered before, you can register a profile using the registration link shared via the procurement notice and following the instructions in guides available in UNDP website: https://www.undp.org/procurement/business/resources-for-bidders . Do not create a new profile if you already have one. Use the forgotten password feature in case you do not remember the password or the username from previous registration.

Diversity, Equity and Inclusion are core principles at UNDP: we value diversity as an expression of the multiplicity of nations and cultures where we operate, we foster inclusion as a way of ensuring all personnel are empowered to contribute to our mission, and we ensure equity and fairness in all our actions. Taking a ‘leave no one behind’ approach to our diversity efforts means increasing representation of underserved populations. People who identify as belonging to marginalized or excluded populations are strongly encouraged to apply.

UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Women, individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence.

UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.