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DCCA

Super Intelligence Analyst

Bethesda, MD, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Super Intelligence Analyst

Location Bethesda, MD

Job Code 2675

# of Openings 1

Apply Now (https://phg.tbe.taleo.net/phg02/ats/careers/v2/applyRequisition?org=DCCAMD&cws=39&rid=2675)

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: www.dcca.com

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 escalate 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; escalate 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 requirements and apply them to assigned technical tasks, project documentation, and Agile delivery activities.
Ability to draft and maintain technical analyses, policy-support materials, implementation guidance, briefing content, and other project documentation under Government or team-lead review.
Effective written and verbal communication skills, including the ability to present technical findings and status to technical and nontechnical stakeholders.
Demonstrated ability to work collaboratively as a member of a cross-functional team; manage assigned priorities; seek guidance when needed; and deliver accurate, timely, high-quality work products.
Clearance: TS/SCI w/CI Poly

Desired Qualifications

Experience supporting Intelligence Community organizations.
Experience with data governance, data lifecycle management, responsible AI practices, model-risk management, and secure AI/ML implementation.
Familiarity with Agile, DevSecOps, and modern software engineering practices.
Experience preparing policy memoranda, governance artifacts, technical assessments, decision papers, implementation plans, or executive briefings.
Knowledge of enterprise cybersecurity principles, data protection controls, and compliance-focused system engineering.

Education & Experience Requirements

Education: Bachelor’s degree in systems engineering, Computer Science, Information Technology, or a related technical discipline.

The proposed salary range for this position in Maryland is 170,000 to 190,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.

At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we’re able to do through our consistent commitment to building culture and comprehensive benefits.

Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.

Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.

Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.

Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.

Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today’s IT problems.

Equal Opportunity Employer including Disability/Vets

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More about this job

Skills

REST Assured
Recruit employees
Machine learning
Deep learning
Natural language processing
ML
Cybersecurity
Research
Apply information security policies
Agile
Software development
Regulatory compliance
Security regulations
Documentation
Communication skills
Risk management
Data protection
Computer science
Computer technology

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