Supervisory Data Analytics Officer

The Supervisory Data Analytics Officer serves as a senior analytics advisor to the Directorate/Office Head, Assistant Director, Deputy Directorate/Office Head, and/or other senior organizational leadership, providing policy, scientific, and administrative expertise in assessing and addressing major collaborative initiatives and issues involving the Foundation's support of research, engineering, STEM education, research infrastructure, innovation, and other priority areas. The incumbent is expected to represent their Directorate/Office in policies and coordination activities. The incumbent coordinates on budget, planning matters, special studies, and reports.

Major Duties and Responsibilities Serves as a senior analytics advisor to Directorate/Office leadership, delivering data-driven insights to shape scientific priorities, program strategy, and organizational decision-making. Leads the development and execution of enterprise data strategy, including governance, architecture, and analytics, to maximize the value of data assets and ensure compliance with federal data standards. Applies advanced analytics (e.g., AI/ML, statistical modeling) to evaluate program performance, identify trends, and inform strategic planning and resource allocation.

Provides authoritative analyses to support budget formulation, long-range planning, and effective management of merit review, award, and post-award processes. Represents the organization in internal and external forums, communicating analytical findings, advising on policy and program matters, and engaging with stakeholders across the scientific community. Leads cross-organizational initiatives, special studies, and program reviews; collaborates with senior leadership to align data, programmatic, and operational strategies.

You must be a U.S. citizen. Selectee will be required to have a background investigation prior to onboarding. Selectee may be required to serve a 2-year trial period. Selectee may be required to serve a 1-year supervisory probationary period.

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.

It is NSF policy that personnel employed at, or Intergovernmental Personnel Act (IPA) individuals detailed to, NSF are not permitted to participate in foreign talent recruitment programs. Failure to comply with this NSF policy could result in disciplinary action up to and including removal from Federal Service or termination of an IPA assignment and referral to the Office of Inspector General. 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.

Please refer to the Qualifications section.

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

1. Supervisory Leadership in Scientific or Grants Data Analytics Demonstrated experience leading and managing teams performing data analytics in support of scientific research, grants management, or federal program operations, including setting priorities, managing performance, and developing staff.
2. Analytics Supporting Merit Review and Grants Decision-Making Proven ability to analyze and interpret complex datasets related to proposal review, funding decisions, or research portfolios, and translate findings into actionable insights for senior leadership.
3. Advanced Analytics Applied to Research and Workforce Data Extensive experience using advanced analytics tools and methodologies (e.g., Python, R, SQL, Tableau, Power BI) to analyze scientific, engineering, or STEM workforce data, including predictive modeling or statistical analysis.
4. Data Governance in a Federal Research Environment Experience implementing or overseeing data governance, quality assurance, and compliance practices for research, grants, or administrative data in alignment with federal policies (e.g., data integrity, privacy, and transparency requirements).
5. Enterprise Data Strategy and Collaboration Demonstrated experience leading or contributing to enterprise-level data initiatives (e.g., data modernization, reporting platforms, or portfolio analysis tools) and collaborating across multiple organizations to deliver data-driven solutions that support strategic priorities.

This announcement is open to the public. If you do not have civil service status or reinstatement eligibility, you will not obtain civil service status if selected. If you are currently in the competitive civil service, you will be required to waive competitive civil service rights if selected.

This position is excluded from the bargaining unit.

You must answer all of the job-related questions to ensure full consideration for this position. Only applications submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.

Applicants must complete and submit an application online at the Office of Personnel Management (OPM) USAJOBS website at https://www.USAJOBS.gov. An account must be established at the OPM website following the instructions provided in order to apply for the position. Once you have completed the USAJOBS process, you will be re-directed to the USA Staffing system to complete your application process, answer the online questions, and submit all required documents. Applications submitted other than the USAJOBS online application WILL NOT BE CONSIDERED under this announcement.

Your application and all supporting documents must be received by 11:59 pm Eastern Standard Time (EST) on the closing date of this announcement. Applicants applying online for this position will be able to apply until 11:59 pm Eastern Standard Time (EST) on the closing date of this announcement. Please allow adequate time to complete your application.

If you encounter technical difficulties during the process, please submit a USA Staffing Help Ticket for assistance. If you have technical difficulties applying to the vacancy on the USAJOBS website, visit the USAJOBS Help Center. It is suggested that you do not wait until the last day to apply for a vacancy announcement.

We will not accept applications other than those submitted through USAJOBS. As the applicant, it is your responsibility to verify that information entered, uploaded, and submitted is received and is accurate. Ensure that your application includes the required documents listed under "Required Documents" and that they are uploaded in the appropriate fields.

If you need a reasonable accommodation for any part of this application and hiring process, please notify the point of contact on this job opportunity announcement. IMPORTANT

NOTE: PLEASE DO NOT INCLUDE YOUR SOCIAL SECURITY NUMBER OR DATE OF BIRTH ON YOUR APPLICATION DOCUMENTS. WARNING! Applications submitted online must have a valid email address. If your email address is inaccurate or your mailbox is full or blocked, you may not receive important communication that could affect your consideration for this position.

All applicants are required to submit a legible resume that is no longer than two pages.

In addition to the two-page resume, a Curriculum Vitae (CV) may be submitted as a Supplemental Application document.

Your application should contain the following information: Information about your education, your major, and type and year of degree(s); and Information about all your work experience, including job titles, duties, and accomplishments, employer's name and phone number, number of hours worked per week, starting and ending dates (month and year), and salary. If you have held various positions with the same employer, describe each separately. You are strongly encouraged to submit a cover letter and QRF responses that describe your background in terms of the professional skills associated with this position.

This information will be used in the evaluation process. These can be attached as supplemental documentation. Transcripts are not required; however, please indicate the year that each degree was obtained on your resume.