The National Science Foundation is seeking qualified candidates for a Data Analytics Officer within the Directorate of Social, Behavioral and Economic Sciences (SBE), Office of the Assistant Director in Alexandria, VA. For more information on SBE please click here.

Duties

This position is in the Office of the Assistant Director (OAD), Directorate of Social, Behavioral and Economic Sciences (SBE). The Directorate, responsible for research and education in the social, behavioral, and economic sciences, consists of three divisions and the Office of Multidisciplinary Activities (SMA), which is housed in OAD. SBE works closely with all parts of the Foundation. MAJOR DUTIES AND RESPONSIBILITIES The SBE Data Analytics Officer (DAO) would be responsible for establishing and managing the office-wide data vision, data governance, quality, architecture, and analytics. The DAO's duties would ensure that SBE maximizes the value of its data assets to fulfill the directorate's mission. The DAO works closely with the SBE Senior Management team to address and provide advice on the ever-growing data resources and needs. The DAO would enable SBE to utilize information to improve operational efficiency and support data-driven decision-making and strategy setting. The DAO's duties include but are not limited to the following: Utilize knowledge of NSF's mission and grant management, proposal, and award data and system structure processes, and a strong technical experience in data science to advise SBE executive leadership on the directorate's data and analytic initiatives. Develop an SBE data and analytics vision and strategic plan. Lead directorate-wide data analytics working group and develop partnerships across divisions to execute the data and analytics strategic plan. Foster a culture of data-driven decision-making and data sharing within the SBE directorate. Promote the use of NSF data services within the directorate. Serve as SBE advisor and liaison to relevant Foundation-wide working groups, such as the Evidence Act and Data Governance Steering Committee and the Enterprise Data Governance and Education Working Group. Represent the office and Foundation within the financial and performance management community with other NSF directorates, other agencies and organizations, and the public, accurately reflecting NSF policy and positions. Foster and maintain partnerships with other NSF directorates that further develop NSF data products and services. Assist in the development of short-and long-range strategic plans and the establishment of objectives for data analytics and leadership decision-making. Develop and implement an effective data governance structure in SBE with a focus on strategic data asset development, including: Develop and guide data management policies and practices to ensure that data is available, reliable, consistent, accessible, secure, and timely across the directorate to support the programs and activities of SBE. Oversee the SBE data governing body and data analytics activities to accomplish the following: Track data collection, data purchases, databases, data models, and linkages between data sets. Align and standardize data models. Standardize data reporting, interpretation, and practices. Improve data quality and develop data quality measures and practices. Oversee the execution of the data management policies and procedures. Establish a communications and interaction model to maintain regular engagement with SBE leadership and its divisions. Design robust data architectures and leverage sound infrastructure - enabling SBE to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security, including: Design data architectures to standardize how data is sourced, integrated, aggregated, and consumed across the directorate. Improve links between siloed databases and data stores to optimize the quality of data repositories. Leverage NSF infrastructure and technologies in data management, data collection, data storage, etc., to implement the data architecture blueprints. Utilize strong experience with NSF enterprise systems and great familiarity with NSF proposal and award data structures to identify technologies and best practices to help reduce workload and increase operational effectiveness within SBE. Establish a comprehensive SBE data analytics strategic plan and build capabilities to help the directorate gain insight and perspectives on SBE data. Support both tactical and strategic decision-making, including: Exploit comprehensive knowledge and working experience in data analytics in establishing SBE analytics governance to: Align the analytic activities/initiatives with the SBE mission. Monitor the progress of analytics projects. Prioritize key strategic initiatives and projects. Develop a plan for analytics that showcases the benefits gained from using data analysis. This roadmap aims to achieve the desired level of maturity over time. Direct analytic innovations through data discovery and data exploration to assist SBE in strategically advancing its mission.

Requirements

Qualifications

Candidates must have a Ph.D. in Mathematics, Statistics, Computer Science, Data Science or a 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 Mathematics, Statistics, Computer Science, Data Science or a 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.

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.

Contacts

• Address NATIONAL SCIENCE FOUNDATION, DIRECTORATE FOR SOCIAL, BEHAVIORAL AND ECONOMIC SCIENCE 2415 Eisenhower Ave Alexandria, VA 22314 US
• Name: Staffing and Classification Branch
• Email: [email protected]