Data and Records Information Officer
What you'd do
The Division of Trading and Markets is seeking a forward-thinking dynamic Data Scientist-Data Officer (Data and Records Information Officer) with strong skills in modern data platforms, advanced analysis technologies and information management to support data driven informed decision-making and innovation. This position requires a blend of technical depth, legal and regulatory understanding, collaboration and communication skills, and a creative, solution-oriented mindset and passion for data.
Major duties
In this role as a Data and Records Information Officer, you will be responsible for: Developing, planning, communicating, implementing, and managing data architecture and data solutions that enable division staff to fully leverage SEC data in a secure, efficient, and impactful way. Working in close collaboration with the Office of the Chief Data Officer, the Office of Information Technology, Office of Records Management Services and the division user community. Serving as the division's subject matter expert for data and records initiatives, providing hands-on leadership and technical direction for data and records projects. Conducting assessments of emerging data and IT trends, actively participating in working groups, and providing recommendations on new technologies. Contributing to the development, testing, and validation of data products and solutions to meet division and SEC needs. Providing expert analysis and guidance on existing and proposed data sources, data models, data infrastructure, data services, and data management practices. Advising on data issues, contributing to strategic direction and process improvements, informing development of current and future data stores and feeds, strengthening internal controls, and driving approved implementations As a subject matter expert, responding to requests for guidance and assistance from stakeholders within and outside the agency, applying up-to-date and highly technical knowledge of data while adhering to federal policies and requirements. Delivering timely, clear, and actionable technical and data solutions to both technical and non-technical audiences. Preparing and communicating guidance on complex data issues using a variety of visual and analytical formats. Providing advanced technical expertise in the design, development, implementation, and oversight of innovative technologies and platforms that support data access and data usage. Leads or conducts comprehensive studies, surveys, reviews, and research projects involving complex or unstructured data.
What you need to qualify
Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement. Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review. Qualifying experience may be obtained in the private or public sector. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. All qualification requirements must be met by the closing date of this announcement. BASIC REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement SK-16: Applicant must have at least one year of specialized experience equivalent to the GS/SK-14 level: Facilitating the implementation of multiple data-sharing mechanisms (i.e. data-sharing agreements, secure data-exchange workflows, and/or access-controlled repositories) using information-sharing theory, policies, procedures, and technologies; AND Developing and executing organizational data strategies that protect and optimize agency and industry data assets and ensure their secure, strategic, and mission-aligned use; AND Leading and advancing the integration of artificial intelligence to transform lifecycle management of data and records and ensure compliance with data governance standards, federal records requirement, and information management laws/regulations; AND Designing and maintaining large-scale interdependent data sets while ensuring data quality. ACCOMPLISHMENT RECORD COMPETENCIES: Your Accomplishment Record narratives should address the following competencies. See the How You Will Be Evaluated section below for more information: Data Governance Management - Establishes policies, standards, and operating models for data quality, privacy, lineage, and stewardship across the lifecycle of data and records. Technology Awareness and Innovation - Maintains awareness of emerging data platforms and analytics/ AI/ML capabilities and uses this knowledge to introduce and share relevant advancements that strengthen organizational capabilities. Teamwork and Collaboration: Interacts with internal and external others in a manner that advances agency goals and objectives. Data Engineering - Performs analysis, builds data pipelines and models, and recommends solutions in line with Federal regulations, factoring in general and specific considerations for decisions and next steps. .
Before you apply
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