Deputy Division Chief - STADS

International Monetary Fund•Washington DC, DC

About The Position

The IMF Statistics Department’s Data Governance and Services Division (STADS) is seeking a fungible or specialist economist to serve as Deputy Division Chief. STADS provides data science, data solution, and data governance services to help Fund departments make effective use of data. Its work includes applying big data, machine learning, and other advanced modeling techniques; designing data architectures and solutions on IMF Data, founded on SDMx standards; and implementing the IMF Data Governance Framework. The division manages the IMF’s Big Data Center and its enhanced Data Dissemination capacity development program. It collaborates with other Statistics Department divisions and serves as the department’s interface with the rest of the Fund on data matters within its mandate. Under the supervision of the Division Chief and in coordination with the other Deputy Division Chief, the Deputy will provide technical and strategic leadership across the division’s work. This includes improving the accessibility, usability, and dissemination of Fund datasets; advancing data governance across the Fund; coordinating innovative data projects; and managing capacity development for IMF member countries. The role also includes participation in international partnerships and forums, leadership of missions and workshops, and active involvement in division management, staff supervision, recruitment, assessment, and coaching. The position is a three-year term appointment under the Fund’s employment rules. It requires Review Committee/Senior Review Committee approval.

Requirements

  • Advanced university degree in Economics, Finance, Statistics, or a related field, or equivalent.
  • At least 15 years of relevant professional experience, including supervisory or managerial experience.
  • Strong understanding of the role of data in economic and policy work and the challenges of managing, disseminating, and using data in large organizations.
  • Proven analytical skills and the ability to innovate, motivate and support change, and take a strategic approach to challenges.
  • Strong advocacy and influencing skills, with effective oral and written communication.
  • Ability to establish effective relationships across a wide range of internal and external stakeholders.
  • Proven interpersonal and leadership qualities and strong managerial abilities, including planning and delivering a wide-ranging divisional work program, building cohesive and motivated teams, and managing, coaching, and developing staff.

Nice To Haves

  • Familiarity with the Fund’s operational context.

Responsibilities

  • Oversee and provide technical and strategic leadership for designing and developing Fund datasets on IMF Data, working across departments to improve data accessibility, usability, and dissemination.
  • Oversee implementation and continued development of the IMF Data Governance Framework, promoting coherent management of data across the Fund, including clear roles and responsibilities, data quality, accessibility, interoperability, and governance of 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.
  • Expand the use of alternative and nontraditional data, data science, AI, advanced analytics, and modeling to develop timely and granular indicators and strengthen surveillance, research, and policy analysis.
  • Manage the division’s capacity development program on data governance, data management, data dissemination, and Big Data, including planning, coordinating, delivering, and monitoring technical assistance to member countries.
  • Participate in international forums and partnerships promoting statistical innovation, sound data management, responsible use of data science and AI, and access to nontraditional data, including the Development Data Partnership and SDMx initiatives.
  • Lead missions, workshops, and other capacity development activities within the division’s areas of responsibility, ensuring high-quality delivery and coordination with country authorities and internal and external partners.
  • Contribute actively to the division’s organization, management, and supervision, and to staff recruitment, assessment, and coaching.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service