Deputy Division Chief, Data Strategy & Innovation

imf; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Analytical skills

Change management

Strategic leadership

Data governance understanding

Education

Advanced university degree in Economics/Finance/Statistics

Job description

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