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Summary The National Science Foundation is seeking qualified candidates for a Data Research Analyst (Data and Analytics Officer) within the Directorate for Engineering (ENG) in Alexandria, VA. For more information on ENG please click here. Responsibilities This position is in the Office of the Assistant Director (OAD), Directorate for Engineering (ENG). The Directorate serves as the focal point for NSF as the lead Federal agency providing funding for research and development in engineering and technology education. ENG is comprised of the Division of CBET, CMMI, ECCS, EEC, and the Office of EFMA. The Directorate for Engineering supports fundamental research cutting across a wide spectrum of science and engineering and is uniquely positioned to lead in connecting discovery to societal use through a focus on innovation. ENG has taken a leadership role in attempting to integrate assessment of its investment, which raises the need for sophisticated e-business to collect and mine data from varied sources within and outside NSF. Further ENG is unique with its own focus on engineering education to meet the needs of the nation for the engineer of the future. Support for Engineering Budget is tied closely with the expectations of impacting the nation to be globally competitive. MAJOR DUTIES The Directorate Data & Analytics Officer (DAO) would be responsible for establishing and managing directorate-wide data vision, data governance, quality, architecture and analytics ensuring ENG maximizes the value of its data assets to fulfill the missions of the directorate. Specific duties include the following: Works closely with the ENG Senior Management team to address and provide advice on the ever growing data resources and needs to enable ENG to utilize information to improve operational efficiency and support data-driven decision making and strategy setting. Including: Administer knowledge of NSF mission and grant management, proposal and award data & system structure processes, and string technical experience in data science, to advise ENG executive leadership on the Directorate's data & analytic initiatives, and to develop ENG data & analytics vision and strategic plan; Lead directorate-wide data analytics working group and develop partnerships across divisions to execute the data & analytics strategic plan; Foster a culture of data-driven decision making and data sharing within ENG directorate. Promote data services; Serve as ENG advisor and liaison in NSF foundation-wide working groups such as Enterprise Architecture Working Group (EAWG) and Data Warehouse Data Population Project (DPP) etc.; Represent the Program, Division, Directorate and Foundation, within the scientific community, with other NSF Divisions, other agencies and organizations, and the public, accurately reflecting NSF policy and positions; Utilize NSF expertise to create and maintain linkages to other NSF units and other Federal agencies in pursuit of the overall NSF Mission. Develop partnerships with other NSF directorates that further development of data products and services; Assist in the development of short-and long-range strategic plans, establishing objectives for research programs and program evaluation. Provide scientific evaluation and technical advice for programs at NSF, including international and cross-directorate programs. Develop and implement an effective data governance structure in ENG with a focus on strategic data asset development, including: Develop and guide data management policies and practices to ensure data is available, reliable, consistent, accessible, secure and timely across the directorate to support the missions and activities of ENG; Oversee the ENG data governing body, the ENG directorate-wide data analytics working group, to accomplish the following: Track data collection, data purchases, database, data models, and linkages between datasets; 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; and Establish a communication and interaction model to maintain regular engagement with ENG leadership and ENG divisions Design robust data architecture and leverage sound infrastructure - enabling ENG to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security. Including: Design data architecture 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; and Leverage NSF infrastructure and technologies in data management, data collection, data storage, etc. to implement the data architecture blueprints; 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. 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 position is in the bargaining unit represented by AFGE Local 3403. The Selected Candidate(s) may be subject to a background investigation. Qualifications Candidates must have either a Ph.D. in an appropriate field plus six or more years of successful research, research administration, and/or managerial experience pertinent to the position after the award of the degree or a Masters in an appropriate field plus eight or more years of successful research, research administration, and/or managerial experience pertinent to the position after the award of the degree. Appropriate fields include Mathematics, Statistics, Computer Engineering, or Data Science 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.