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Chief Data & Analytics Officer

Development Finance Corporation

Published byWriters WebOriginal source attribution is preserved.

This position is part of the U.S. International Development Finance Corporation (DFC), Office of Performance & Innovation (OPI). The Chief Data & Analytics Officer (CDAO) serves as DFC's senior official for enterprise data governance, data strategy, analytics, and data…

Chief Data & Analytics Officer visual
NEXARA Match opportunity visualPublished by Writers Web
Washington, District of Columbia, USCloses in 7 days

About this opportunity

This position is part of the U.S. International Development Finance Corporation (DFC), Office of Performance & Innovation (OPI). The Chief Data & Analytics Officer (CDAO) serves as DFC's senior official for enterprise data governance, data strategy, analytics, and data management. The CDAO establishes the vision, policies, standards, and operating model necessary to ensure that DFC data are accessible, reliable, secure, inter-operable, and used responsibly.

Status candidates must meet time-in-grade requirements (52 weeks at the next lower grade level). Applicants must meet all eligibility and qualification requirements no later than the closing date of this announcement.

TIME-IN-GRADE: Current career or career-conditional employees of the Federal government, or former career or career-conditional employees, who have a break in service of less than one year, are required to meet the time-in-grade restriction of one year of Federal experience at the next lower grade, with few exceptions outlined in 5 CFR 300.603(b).

You may qualify at the GS-15 level, if you fulfill the following qualification requirements: One year of specialized experience equivalent to the GS-14 grade level in the Federal service that demonstrates your ability to: 1) Manage or support the planning, implementation, and/or operation of an enterprise data governance and/or data management program, which may include development of data strategy, policies, standards, definitions, processes, roles, and/or controls that improve data quality, accessibility, security, and appropriate use, and that establish the foundational data ecosystems required to support advanced analytics and AI; 2) Lead enterprise data and analytics initiatives that turn data into decisions and outcomes, such as providing guidance and oversight over the development and rollout of data infrastructure such as a data lake or data warehouse; applying advanced analytics, modeling, AI, and/or automation to improve routine processes and inform decision-making; and preparing and provisioning quality data to support dashboards, KPIs, and performance reporting used by senior leadership and program teams; 3) Cultivate a data-driven culture and foster collaborative relationships across cross-functional stakeholders, who may include business/program offices, information technology staff, data owners/users, and senior leadership; and 4) Lead, supervise, or manage staff, teams, contractors, or cross-functional working groups responsible for data, analytics, information management, and related functions.

Note: Education is not substitutional at this grade level. Please Note: Applicants may be asked to produce a writing sample during the interview stage. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social).

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. This position is being advertised concurrently with vacancy announcement 26-OPI-DE-13050683-KS using Delegated Examining (DE) procedures. If interested, refer to that announcement to determine if you meet DE requirements and can apply to that announcement.

NOTE: You must apply separately to each announcement in order to be considered under both. This announcement may be used to fill similar positions, if additional vacancies occur.

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