Super Intelligence Analyst Security Clearance

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at:  Super Intelligence Analyst Candidate must have a TS/SCI For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure.

With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters. Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships.

As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.

Key Responsibilities The Super Intelligence Analyst will:
* Support the development, testing, implementation, and maintenance of Super Intelligence (SI) and machine learning solutions using technologies such as deep learning, natural language processing, generative SI, and agentic SI.

• Analyze structured and unstructured datasets to identify patterns, trends, anomalies, and insights that support defined mission and business needs.
• Apply established SI/ML methods and tools to evaluate solution alternatives and assist in selecting models appropriate to documented use cases and requirements.
• Assist technical and mission stakeholders in understanding SI/ML model capabilities, limitations, data dependencies, and operational considerations.
• Identify potential data-security, data-integrity, quality, privacy, provenance, and access-control issues during solution development; document findings and elevate risks in accordance with established processes.
• Support IT policy and governance activities related to data, SI, enterprise IT, and cybersecurity capabilities.
• Research and analyze applicable U.S. Government policies, procedures, standards, and governance requirements; assist with assessing their applicability to SI, data, cybersecurity, and IT initiatives.
• Draft, edit, and maintain policy documents, procedures, guidance, technical analyses, implementation artifacts, and briefing materials for Government review and approval.
• Assist project teams in understanding applicable standards, governance requirements, and data-security obligations, using established guidance and processes.
• Support the application of Sponsor-specified governance within Agile software development and engineering activities.
• Collaborate with Agile teams, data professionals, cybersecurity personnel, policy stakeholders, and mission partners to incorporate governance and compliance requirements into solution implementation.
• Communicate technical findings, policy considerations, risks, and recommended actions clearly to technical and nontechnical stakeholders.
  
  Required Qualifications
  * Experience supporting the development, testing, implementation, and maintenance of Super Intelligence (SI) and machine learning (ML) solutions using technologies such as deep learning, natural language processing, generative SI, agentic SI, predictive analytics, or related analytical methods.
• Experience analyzing structured and unstructured datasets to identify patterns, trends, anomalies, risks, and insights in support of defined mission or business requirements.
• Working knowledge of SI/ML model characteristics, capabilities, limitations, and data requirements, with the ability to assist in evaluating and applying appropriate models to defined use cases.
• Ability to identify and document potential data-security, data-integrity, privacy, quality, and access-control concerns during solution development and implementation; elevate issues through established processes.
• Experience supporting the application of IT, data, cybersecurity, SI/ML, or digital-governance policies, standards, procedures, and controls in a government or similarly regulated environment.
• Ability to interpret established policy, governance, and security…