Manager / Senior Manager (Ecosystem Data Exchange), SIR/TF

Transformation Division (TF) Strategy, International & Research Group (SIR) Reports to: Assistant Director / Branch Head, Data Governance Office (DGO) The Strategy, International & Research (SIR) Directorate oversees and drives MSF’s strategic planning, transformation, international engagement, as well as research and analytics efforts to achieve MSF’s strategic outcomes. As part of the Transformation Division in SIR, the Data Governance Office (DGO) drives MSF’s data strategy, develops data governance policies and processes, and builds data capabilities within MSF. As Manager/Senior Manager (Ecosystem Data Exchange), you will develop the frameworks, standards and processes that enable trusted and consistent data sharing with Non-Public Sector Persons (NPSPs) and other government agencies. Responsibilities Data Exchange Strategy & Implementation - Develop MSF’s approach to data exchange with NPSPs and other government agencies, translating policy and operational needs into practical data-sharing arrangements. - Identify gaps, dependencies and implementation considerations, and work with relevant parties to develop workable solutions. Data Harmonisation & Standards - Develop and maintain common data definitions and standards to improve the consistency and usability of data shared within social service sector. - Drive data harmonisation by addressing differences in data definitions, structures and business requirements. - Develop and maintain key data governance artefacts, including the MSF Data Reference Model (DRM) and MSF data dictionary. Data Reconciliation & Acquisition Governance - Develop data reconciliation protocols to support the consistent interpretation and use of data received from different sources. - Establish governance processes for central oversight of data acquisition - Address data quality, definition issues that affect the acquisition and use of data. Requirements Essential - Relevant tertiary qualification, with experience in data governance, data management, data sharing or related transformation work. - Experience developing or implementing data standards, data definitions, data-sharing protocols, governance frameworks or SOPs. - Good understanding of data governance, data quality, standardisation and reconciliation principles. - Strong analytical and problem-solving skills, with the ability to translate complex issues into practical solutions. - Strong communication, facilitation and stakeholder-management skills, with the ability to influence and work effectively across organisational boundaries. - Ability to independently drive initiatives and navigate ambiguity in developing new approaches. Desirable - Experience in the public or social service sector, particularly in cross-agency data-sharing initiatives. - Familiarity with data dictionaries, reference data models and public-sector data governance or statistical publication practices.