2020-11-19
General Dynamics Information Technology (www.gdit.com)
Other
/yr
Quantico
Virginia
United States
Join GDIT and be a part of the team of men and women that solve some of the world’s most complex technical challenges. The NCIS program is searching for a Senior Data Architect to join their team in Quantico, VA.
The Naval Criminal Investigative Service (NCIS) is an organization of over 2,000 personnel of which 700 serve at HQ and the remaining staff serve at offices worldwide. NCIS is the Department of Navy (DON) component with primary responsibility for criminal investigation, law enforcement (LE), counter-terrorism (CT), counterintelligence (CI), and cyber matters. NCIS not only has primary responsibility for all criminal investigative, CI, CT, and cyber matters within the DON, but it also has exclusive investigative jurisdiction in non-combat matters involving actual, potential, or suspected criminal, terrorism, sabotage, espionage, and subversive activities.
NCIS provides the DON with threat status and warnings associated with terrorist, criminal, cyber, and counterintelligence activity throughout the world. NCIS is the only DON organization that has the information and responsibility to fuse and analyze the national intelligence and law enforcement information necessary to provide these warnings.
This position will support the NCIS Office of the Command Data Officer (OCDO) and will be responsible for advancing the agency’s mission of investigating and defeating criminal, terrorist, and foreign intelligence threats to the DON – in the maritime domain, ashore, and in cyberspace. The NCIS OCDO is committed to supporting the NCIS mission through the implementation of a modern, integrated internal data infrastructure with a focus primarily on exploiting the established data foundation to make internal and customer-centric business processes as effective and efficient as possible, laying the foundation for cognitive capabilities that can sense and respond to both internal and external customer data needs. The OCDO will also focus on expanding the organization’s data ecosystem to include context-rich data while maintaining the agility needed to spark innovation.
As and integral part of the OCDO, you will perform the following functions:
Responsibilities
Establish shared operational data and integrated enterprise data, all while managing and/or improving data quality and security through the creation of business-driven governance structures and culture change management.
Establish data policies, standards, and procedures that improve data quality, availability, accessibility, security, usability, and enforcement of enterprise information management (EIM) program requirements.
Establish enterprise standards – including a uniform and repeatable system development life cycle methodology for Reference Data and Master Data (e.g., a common set of standards for data naming, abbreviations, and acronyms).
Develop a data catalog to help NCIS organize and find data stored in their many systems. The data catalog shall include information about tables, files, and databases from the NCIS Enterprise Resource Planning (ERP), human resources (HR), finance, capability platforms, and social media feeds. The data catalog must also show where all the data entities are located.
Develop a Master Data Management (MDM) Plan that focuses on the technology, tools, and processes ensuring master data is coordinated across the NCIS enterprise. MDM is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference. The data that is mastered may include reference data – the set of permissible values, and the analytical data supporting decision making. MDM provides a unified master data service intended to provide accurate, consistent and complete master data across the NCIS enterprise and to business partners.
Recommend solutions based on performing industry-specific analysis, such as case studies describing data management best practices, identifying trends across the industry.
Optimize and consolidate business and operational data while augmenting it with data about, and often generated by customers. Expand the data infrastructure to include sensor, device data, and other data sources.
Make recommendations to improve the efficiency and effectiveness in how NCIS acquires, stores, manages, shares and applies its data.
Engage business users and stakeholders for the increased release of actionable high-quality data on key operational and tactical activities at NCIS.
Develop technology solutions to provide the platform, training, and standardized tools enabling querying, data mining, statistical analysis, reporting, scenario modeling, data visualization, and dash-boarding, and processes for a centralized, or analytics as a service model, allowing for the sharing of data across the enterprise from a common hub, facilitates cross-organizational data initiatives due to its enterprise-wide view of data assets and needs.
Identify and manage risks proactively.
Participates in the design of the technical and information architecture for the data warehouse, including all information structures (staging area, data warehouse, data marts, and operational data stores).
Creates logical and physical data models, mapping logical to physical.
Basic Qualifications
Bachelor's degree in computer science, information systems or a related study (or equivalent project-related experience).
7+ years of experience in IT, with at least two years in information system design.
In-depth experience of designing and implementing information solutions.
Business domain, data/content and process understanding (which are more important than technical skills).
System integration experience, including interface design, and familiarity with web-oriented architecture techniques.
Data modeling and information classification expertise at the enterprise level.
Understanding of common information architecture frameworks and information models.
Understanding meta modeling, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
Experience with distributed management and analytics in cloud and hybrid environments.
An understanding of a variety of data access and analytics approaches (for example, micro-services and event-based architectures).
Knowledge of problem analysis, structured analysis and design, and programming techniques.
Required: Certifications as per Cybersecurity Workforce Management and Qualification Manual, SECNAV M-5239.2.
TS/SCI
Desired Qualifications:
Hands-on experience with implementing data and analytics management programs.
Ten years’+ experience as a data analyst.
Effective conceptualization, pattern recognition and teaming skills.
Demonstrated influence, communication, presentation and facilitation skills.
Experience with innovation and ideation methods, such as design thinking.
Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
Ability to assess rapidly changing technologies and apply them to business needs.
Strong communication and persuasion skills, including the ability to create marketing and messaging materials that meet stakeholder needs.
Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
