The Senior Exploitation Specialist will manage existing data holdings; implement data policies, standards, and requirements to ensure integrity and quality; drive the collection of additional data; cleanse and condition data as needed for use in multiple applications and products.
Manage data-related issues throughout the data life cycle, including creation, evaluation, organization, storage, deletion, documentation, and dissemination.
Implement data policies, standards, and requirements to ensure integrity and quality.
Perform data conditioning techniques and processes for data management purposes.
Conceptualize the relationship between a database structure and the requirements for analyzing and visualizing those data both temporally and spatially.
Work with various stakeholders to develop data strategies and provide the data necessary to meet mission requirements. Works with user groups to solve business problems with available technology including hardware, software, databases, and peripherals.
Develops and implements processes that enable agile teaming to maximize talent utilization across the customer organization.
In-depth understanding of emerging IT technologies in order to create directorate level business processes.
Partners with various stakeholder organizations to lead planning and business process improvement efforts.
Establishes needed processes, governance structures, performance metrics, and reporting.
Applies expert functional knowledge and experience to significant business projects or processes.
Maintains expertise by in-depth involvement in the state-of-the-art research and technology development in the field.
Monitors and/or participates in industry user forums, working groups in area of expertise.
As needed, identifies the most qualified internal resources and/or contractor team to assist with tasks. Selects contractors, frames statements of work, and directs the work of the team to assure technical and financial milestones are met.
May lead a small team of capable technical staff members and advises/mentors developing technical staff, does not have direct management responsibility.
Coaches and mentors internal staff in associated technical areas of expertise.
Minimum Qualifications
Bachelor of Science degree in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or a related field.
Demonstrated experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques such as GIS, quantitative methods and data visualization, modeling, systems analysis, comparative analysis, and database development.
Demonstrated knowledge and experience in data mining, cleansing, and exploring spatial, temporal, and non-spatial data in both structured and unstructured formats.
Proficiency in MS Office suite.
Industry leading certification for technical expertise preferred.
12+ years of experience in a technical field.
Other Job Specific Skills
Process oriented, conceptually driven and possess the ability to think strategically and work collaboratively in a highly technical setting.
Demonstrated success in developing strategic goals and leading complex programs.
Experience with project development lifecycle and systems operations.
Proven ability to interact with customers, senior leadership and program managers in a highly matrixed environment.
Proven ability to develop and extend network of working level contacts to facilitate behind the scenes coordination.
Proven experience in designing, developing, and delivering executive level communication on organization transformation and business process changes. Ability to prepare presentations and to present information to senior managers.
Ability to work and apply creativity in a fast-paced environment.
Utilize creative problem-solving and communication--oral and written--skills, emphasizing the abilities to articulate, explain, and deliver technical concepts and issues to non-technical business leadership.
Recognized in field of expertise as an expert.
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