Chief, Economic Data Management Analysis

Posted to IASSIST on: 2013-01-08

Employer: Federal Reserve Board

Employer URL:


[The Chief of the Economic Data Management Analysis Section manages staff engaged in the management, delivery, and curation of both time-series (aggregate) and cross-sectional (micro-level) data.  The staff are experts in ETL (extract, transform, load) procedures and provide content-oriented support for a variety of data types. The chief coordinates data management activities with other divisions and may represent the division or the Board with outside groups in the private and public sectors. ]{.pc-rtg-body}

Candidates must demonstrate a thorough understanding of data management and research support methods and strategies, and the ability to direct staff, set priorities, and assess staff performance. Position requires excellent written and oral communications skills; excellent organizational, time management, customer service and problem-solving skills; and the ability to work well with others at all levels of the organization, in both one-on-one and group situations. A firm grasp of the economic and financial concepts measured by the data the section manages is preferred. Basic understanding of the technologies used by researchers as well as those used to manage and disseminate data is preferred.

Responsible for supervising data content experts and technology staff charged with undertaking data management to support research and analysis both in the Division of Research and Statistics and across the economics functions at the Board more broadly. Coordinates data acquisition, management, and dissemination activities with other divisions and represents the division or the Board in interactions with other divisions, Reserve Banks, and outside groups in the private and public sectors. Responsibilities include administration of the section; planning the section’s program; directing the flow and substance of work; supervising and coaching a group manager; and preparing and reviewing communications related to data activities.

Archived on: 2013-01-08