Skip to main content
U.S. flag
Back to results

Interdisciplinary (Supervisory Data and Analytics Officer)

National Science Foundation
Directorate for Computer and Information Science and Engineering
This job announcement has closed

Summary

This position is for a Interdisciplinary (Supervisory Data and Analytics Officer) with the Directorate for Computer and Information Science and Engineering (CISE) at the National Science Foundation.

For more information about CISE click here

Overview

Help
Hiring complete
Open & closing dates
04/27/2023 to 05/25/2023
Salary
$160,889 to - $206,279 per year
Pay scale & grade
AD 4
Location
Few vacancies in the following location:
Alexandria, VA
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
Yes—Relocation may be authorized based on availability of funds.
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
None
Supervisory status
Yes
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Announcement number
CISE-23-11947419
Control number
722376300

This job is open to

Help

Clarification from the agency

Applications will be accepted from all US citizens who meet citizenship and eligibility requirements. Please see the "Other Information" section for further information.

Duties

Help

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 Directorate Data and Analytics Officer (DDAO) 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 Directorate Data & Analytics Officer (DDAO) 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 ever-growing data assets and needs and enable CISE to harness that data to support data-driven 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

Help

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.

All online applicants must provide a valid email address. If your email address is inaccurate or your mailbox is full/blocked, you may not receive important communication that could affect your consideration for this position.

This is a non-bargaining unit position.

The Selected Candidate(s) may be subject to a background investigation.

Qualifications

Candidates must have a Ph.D. in computer engineering, computer science or closely related field, plus after award of the Ph.D., six or more years of successful research, research administration, and/or managerial experience pertinent to the position; OR a master's degree in computer engineering, computer science or closely related field, plus after award of the degree, eight or more years of successful research, research administration, and/or managerial experience pertinent to the position.

Candidates with a data-intensive science, technology, engineering, or mathematics (STEM) field is highly desired.

Education

Please refer to the Qualifications section.

If your degree was obtained from a foreign institution, please 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 Definitions

This announcement is open to All US Citizens who meet citizenship and eligibility requirements.

Federal Appropriations Law requires that Non-Citizens meet certain eligibility criteria to be considered. Therefore, Non-Citizens must certify eligibility by signing and attaching this Citizenship Affidavit to their application. Non-citizens who do not provide the affidavit at the time of application will not be considered.

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.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated on the extent and quality of your experience, expertise, education, and research activities relevant to the duties of the position. In some cases, additional assessment processes may also be used. We strongly encourage you to specifically address the Quality Ranking Factors below. This will ensure that you receive full consideration in the evaluation process.

Quality Ranking Factors

  1. Knowledge of CISE's mission and activities.
  2. Ability to recognize data trends and formulate strategies to realize CISE goals.
  3. Experience in data- and computational-tools and methods including data analytics, application development, storage systems design and operations, software and tool development and algorithms.
  4. Supervisory experience or preparation for supervisory responsibilities.

Your session is about to expire!

Your USAJOBS session will expire due to inactivity in 8 minutes. Any unsaved data will be lost if you allow the session to expire. Click the button below to continue your session.