Supervisory Data and Analytics Officer - Alexandria, United States - US National Science Foundation
Description
Duties:
The mission of the Directorate for Computer and Information Science and Engineering (CISE) is to enable the U.S.
to uphold its leadership in computing, communications, and information science and engineering; promote understanding of the principles and uses of advanced computing, communications, and information systems in service to society; support advanced cyberinfrastructure that enables and accelerates discovery and innovation across all science and engineering disciplines; and contribute to universal, transparent, and affordable participation in an information-based society.
The Supervisory Data and Analytics Officer assists the CISE Assistant Director and Deputy Assistant Director in the formulation of the directorate's scientific goals and program planning through the use of raw data, data analytics, and evaluation procedures and tools.
The incumbent prepares relevant analyses which provide a basis for major decisions in priority setting, directorate and program planning and internal management, and translating scientific decisions into effective budgetary and operational activities.
The incumbent is current in data analytics capabilities, is cognizant of current and proposed initiatives impacting the CISE directorate and provides advice on the implications of such on the directorate's future programs, budgets, and the merit review process.
Required to supervise two or more members of the data and analytics team.The Supervisory Data and Analytics Officer is responsible for establishing and maintaining a directorate-wide data vision and strategy, as well as data governance, quality, architecture, and analytics - ensuring CISE maximizes the value of its data assets to fulfill its mission
The incumbent will:
- Work closely with the CISE management team to manage the evergrowing data assets and needs and enable CISE to harness that data to support datadriven decision making and strategy setting as well as improve operational efficiency.
- Supervise the Data and Analytics team.
- Develop and implement an effective data governance structure in CISE with a focus on strategic data asset development and utilization.
- Design a robust data architecture and leverage sound data infrastructure enabling CISE to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security.
- Develop a comprehensive CISE data analytic strategic plan and build capabilities to help the directorate gain insight and perspective on CISE data, and support both tactical and strategic decision making.
- Represent the directorate and Foundation with other NSF units, other appropriate agencies and organizations, the scientific community, and the public, accurately reflecting NSF policy and positions.
- Maintain familiarity with current research developments.
Requirements:
Conditions of Employment:
This position is outside the competitive civil service.
You must meet eligibility and qualification requirements by the closing date of the announcement.
This is a non-bargaining unit position.
Qualifications:
- Advanced education in Data Analytics or a similar field is desirable but not required.
Education:
Please refer to the Qualifications section.
If your degree was obtained from a foreign institution, you MUST also submit the certification from the Association for International Credential Evaluation Professionals, or certification equivalency.
Additional information:
Relocation expenses MAY be paid contingent upon the availability of funds.
It is NSF policy that NSF personnel employed at or IPAs detailed to NSF are not permitted to participate in foreign government talent recruitment programs.
Failure to comply with this NSF policy could result in disciplinary action up to & including removal from Federal Service or termination of an IPA assignment & referral to the Office of Inspector General.
Foreign Talent DefinitionsThis announcement is open to All US Citizens who meet citizenship and eligibility requirements.
This announcement may be used to fill like positions in other organizations within the National Science Foundation.
NSF has determined that all of its positions are eligible for telework.
Work suitable for telework depends on job duties; therefore, employees must receive approval from their supervisor for telework and have a telework agreement in place.
Entering into a telework agreement is voluntary.- Benefits
As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding.
Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent.
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