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Chief Science Data Officer

National Aeronautics and Space Administration
Headquarters, NASA
This job announcement has closed

Summary

The Chief Science Data Officer (CSDO) reports to the Director, Planetary Sciences Division in Science Mission Directorate's (SMD) and is responsible for the leadership of SMD's data strategy and policy. This position will collaborate with all SMD divisions. The CSDO determines and presents the Data Programs to the SMD leadership, NASA senior management, the Office of Management and Budget (OMB), Congress, and other agencies and organizations.

Overview

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Hiring complete
Open & closing dates
12/18/2023 to 01/10/2024
Salary
$141,022 to - $202,085 per year
Pay scale & grade
SL 00
Location
1 vacancy in the following location:
Washington, DC
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
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
None
Job family (Series)
Supervisory status
No
Security clearance
Sensitive Compartmented Information
Drug test
Yes
Position sensitivity and risk
Special-Sensitive (SS)/High Risk
Trust determination process
Announcement number
HQ-24-SL-12234816
Control number
766404300

This job is open to

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Clarification from the agency

The area of consideration for this position is open to current NASA civil service employees on career, career conditional, or NASA term appointments with conversion eligibility. A person is considered to be in the civil service only if occupying a civil service position at the time of application.

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Duties

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The Chief Science Data Officer:

  • Serves as Manager of SMD's Data Program by leading, budgeting, and implementing scientifically relevant advanced data system engineering approaches that enable open science. Leads SMD-wide strategic initiatives and establishes new data and software policies to improve the planning, management, and utilization of scientific data across divisions.
  • Leads the development and implementation of open data policies, agreements, and partnerships with interagency, commercial, and international partners for SMD; advises divisions within SMD on the same. Advances open access to data with the goal of accelerating scientific discovery and increasing participation in the scientific process.
  • Leads multifaceted projects to capture, process, and deliver data collected from science instruments and missions. Serves as the SMD liaison to the Office of the Chief Information Officer (OCIO) and the Business Innovation Office (BIO) for matters related to open data policies, data management, and associated digital transformation initiatives.
  • Leads, budgets, and implements scientifically relevant advanced data system engineering approaches that enable open science. This includes implementing advanced data system engineering approaches such as continuous evolution, open access methodologies for data and software, analysis tools like Artificial Intelligence and machine learning, cloud computing, and data science.
  • Strategically leads and collaborates with senior stakeholders to establish and achieve goals related to open data policies, data management, and associated digital transformation initiatives across multiple science or other relevant disciplines. Negotiates agreements/contracts with commercial, academic, and international institutions.
  • Identifies synergies and collaborations that can be leveraged across the Agency's science communities. Leads the effort to advance the state-of-the-art in cloud computing, machine learning, and other data management and analysis activities.
  • Fosters and continually drives a culture of engagement, diversity, inclusiveness, excellence, and innovation within and outside of the organization and NASA. Champions the Agency's commitment to Diversity, Equity, Inclusion, and Accessibility (DEIA) and creates an environment and culture that promotes and enables the Agency's commitment to safety, inclusion, integrity, teamwork, and excellence.

Requirements

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Conditions of employment

  • The individual selected will be required to file an 'Executive Branch Personnel Financial Disclosure Report' (OGE-278) in accordance with the Ethics in Government Act of 1978.
  • Successful completion of a background investigation commensurate with the risk and sensitivity level of the position.
  • Successful completion of random drug screening may be required.
  • Must meet qualifications requirements by the closing date of this announcement.

Qualifications

Candidates must be a recognized subject matter expert with at least 1 year of directly related experience equivalent to the GS-15 level in leading, budgeting, and implementing scientifically relevant advanced data system engineering approaches (examples include: continuous evolution, open access methodologies for data and software, analysis tools like Artificial Intelligence and machine learning, cloud computing, and data science) that enable open science; demonstrated strategic leadership and collaboration experience with senior stakeholders (examples include: commercial, interagency and international stakeholders, organization internal stakeholders, and other research and end-user stakeholders) to establish and achieve goals related to open data policies, data management, and associated digital transformation initiatives across multiple science or other relevant disciplines; and experience in negotiating both contracts and agreements (examples of agreements include: commercial, academic, and international institutions). Experience must be clearly demonstrated in the resume.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement, or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job.

To meet the minimum qualification requirements for this position, you MUST address each Senior Level (SL) Evaluation Criteria separately not to exceed a total of ten (10) pages. If you fail to do so, your application will be rated ineligible. Please cite experience directly related to the specialized experience requirements (outlined above) when addressing the SL evaluation criteria #2 (Technical Excellence and Contributions) and SL evaluation criteria #5 (Corporate Cooperation and Technical Leadership Skills). For the full definition of the SL Evaluation Criteria and Process please click here. Please include your full name on all documents submitted.

SL EVALUATION CRITERIA:

1. Education Level and Training

2. Technical Excellence and Contributions
a. Experience/Accomplishments
b. Technical and Strategic Problem Solving
c. Information Transfer

3. Awards and Recognition

4. Outside Professional Activities

5. Corporate Cooperation and Technical Leadership Skills

Education

This position has a positive education requirement. To be eligible, you must clearly state in your resume the following: degree, major and/or minor, and college/university.

A bachelor's degree from an accredited college or university with major study in engineering, physical science, mathematics, life sciences, computer science, or other field of science.

SPECIAL INSTRUCTIONS FOR FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a credential evaluation service that specializes in interpretation of foreign education programs. These education credentials must be deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, click here.

Additional information

Must be able to obtain and maintain a Top Secret/Sensitive Compartmented Information security clearance.

How you will be evaluated

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

All qualifications requirements must be met by the closing date of the announcement. You will be evaluated based on how well you meet the qualifications above.

Applicants that meet minimum eligibility requirements outlined in the Qualifications and Education (if applicable) sections of the vacancy announcement will be referred to a panel of subject matter experts for further evaluation. The panel reviews the resumes and responses to the SL evaluation criteria as related to the specialized experience for this position. The panel evaluates the candidates' experience against each SL criterion. Candidates may receive an interview for further evaluation and/or be asked to provide a list of references. The panel will make a recommendation to the appropriate approving authority.

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