Deputy Division Chief - STADS

imf

Washington (District of Columbia)

Sur place

USD 180 000 - 240 000

Plein temps

Il y a 3 jours
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Résumé du poste

IMF’s Statistics Department (STA) invites a fungible or specialist economist to serve as Deputy Division Chief of STADS in Washington, D.C. The role leads data governance, big data initiatives, and data architecture across the Fund, fostering innovative analytics and international collaboration.

The successful candidate will have a advanced degree and at least 15 years of relevant experience, including supervisory responsibilities, with strong data-driven policymaking capabilities and

Qualifications

  • Advanced university degree in Economics, Finance, Statistics, or a related field.
  • At least 15 years of relevant professional experience, including supervisory or managerial roles.
  • Strong understanding of data in economic and policy work.

Responsabilités

  • Oversee and provide technical and strategic leadership for design and development of IMF data sets across departments.
  • Oversee implementing and evolving the IMF Data Governance Framework with clear roles, data quality, and interoperability.
  • Lead the IMF's Big Data Center, coordinating data projects and expanding use of AI and advanced analytics.
  • Manage capacity development on data governance, management, dissemination, and Big Data; coordinate technical assistance to member countries.
  • Participate in international fora promoting statistical innovation and access to nontraditional data.
  • Lead missions, workshops and other capacity development activities with high-quality delivery.

Connaissances

Analytical skills
Change management
Strategic leadership
Data governance understanding

Formation

Advanced university degree in Economics/Finance/Statistics

Description du poste

Work for the IMF. Work for the World.

The Statistics Department provides global leadership on data and statistics, statistical methodologies, and data innovation for the Fund, its member countries, and the international statistical community. It supports Fund surveillance and lending operations by helping ensure that their data needs are met and by strengthening member countries' capabilities to produce, manage, and disseminate high-quality macroeconomic and financial statistics for sound policymaking. STA collaborates closely with other Fund departments, member countries, donors, and external partners to advance statistical capacity, data innovation, and the availability and effective use of data for bilateral and multilateral surveillance and lending operations.

STA has an opening in its Data Governance and Services Division (STADS) for a fungible or specialist economist to serve as Deputy Division Chief. The division provides a broad range of data services to help Fund departments make more effective use of data, including Data Science Services; Data Solution Services; and Data Governance Services. These services encompass the application of Big Data, machine learning and other advanced modeling techniques; the design of data architectures and solutions on IMF Data, founded on the SDMx standards; and the implementation of the IMF's Data Governance Framework. The division manages the IMF's Big Data Center, which serves as a central platform for data innovations and supports Fund departments and IMF member countries in developing and applying innovative data and modeling approaches to produce more timely and granular indicators and strengthen surveillance and policy analysis. STADS also manages the enhanced Data Dissemination capacity development program, which supports member countries in enhancing their data management and dissemination practices with modern technology and in alignment with international standards. To achieve its objectives, STADS works in close collaboration with other STA divisions and serves as STA's interface with the rest of the Fund on all data-related issues pertaining to the division's mandate.

In coordination with the other Deputy Division Chief and under the supervision of the Division Chief, the Deputy Division Chief will have a key role to play in all these areas. S/he may be called to:

  • Oversee and provide technical and strategic leadership for the design and development of Fund datasets on IMF Data, working across departments to improve the accessibility, usability, and effective dissemination of IMF data.
  • Oversee the implementation and continued development of the IMF Data Governance Framework, promoting a coherent and effective approach to managing data across the Fund, including clear roles and responsibilities, data quality, accessibility, interoperability, and the governance of all data assets.
  • Oversee and provide strategic leadership for the IMF's Big Data Center, coordinating innovative data projects across Fund departments and the IMF membership and expanding the use of alternative and nontraditional data, data science, AI, advanced analytics, and modeling to develop more timely and granular indicators and strengthen Fund surveillance, research, and policy analysis.
  • Manage the division's capacity development program on data governance, data management, data dissemination, and Big Data, including planning, coordination, delivery, and monitoring of technical assistance to IMF member countries to utilize enhanced data solutions and innovative data sources and methods for economic and financial statistics.
  • Participate in international fora and partnerships promoting statistical innovation, sound data management practices, responsible use of data science and AI, and access to nontraditional data, including through initiatives such as the Development Data Partnership and SDMx.
  • Lead missions, workshops and other capacity development activities in areas under the division's purview, ensuring high-quality delivery and effective coordination with country authorities and internal and external partners.

The Deputy will be expected to play an active role in the general organization, management, and supervision of the division, and the recruitment, assessment, and coaching of its staff.

Qualifications
  • An advanced university degree in Economics, Finance, Statistics, or a related field of study or equivalent, supplemented by a minimum of fifteen (15) years of relevant professional experience, including supervisory or managerial experience, is required.
Additionally
  • S/he should have a strong understanding of the role of data in economic and policy work and of the challenges associated with managing, disseminating, and using data in large organizations.
  • Familiarity with the Fund's operational context would be an advantage.
  • Important qualifications are proven analytical skills, ability to innovate and motivate and support change, and a strategic approach to addressing challeng
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