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Cdao Jobs in Reston, VA (NOW HIRING)

Redhorse Corporation

Special Assistant

Falls Church, VA · On-site

$160K - $180K/yr

Serve as the principal Autonomy Division liaison with the CDAO Front office. Responsible for coordinating, managing, and tracking tasks and schedules covering operations, plans, acquisition, budget ...

Redhorse Corporation

Special Assistant

Falls Church, VA · On-site

Serve as the principal Autonomy Division liaison with the CDAO Front office. Responsible for coordinating, managing, and tracking tasks and schedules covering operations, plans, acquisition, budget ...

Redhorse Corporation

Special Assistant

Falls Church, VA

$160K - $180K/yr

Serve as the principal Autonomy Division liaison with the CDAO Front office. Responsible for coordinating, managing, and tracking tasks and schedules covering operations, plans, acquisition, budget ...

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Cdao information

What is the difference between CDAO vs Data Scientist?

AspectCDAOData Scientist
Required CredentialsAdvanced degrees in business, data analytics, or related fields; leadership experienceDegree in computer science, statistics, or related fields; often requires programming skills
Work EnvironmentStrategic leadership, executive meetings, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageUsed in large corporations, focusing on data strategy and governanceUsed across industries for data analysis, modeling, and insights

The CDAO (Chief Data & Analytics Officer) focuses on strategic data governance and leadership, while a Data Scientist primarily handles data analysis and model development. Both roles require strong analytical skills, but the CDAO emphasizes leadership and strategic planning, whereas the Data Scientist is more technical and hands-on with data modeling.

What are the key skills and qualifications needed to thrive as a Chief Data and Analytics Officer (CDAO), and why are they important?

To thrive as a Chief Data and Analytics Officer (CDAO), you need advanced expertise in data management, analytics, and business strategy, typically supported by a degree in computer science, statistics, or a related field and significant leadership experience. Familiarity with data governance frameworks, big data platforms (like Hadoop or Spark), analytics tools (such as Tableau or Power BI), and relevant certifications (e.g., Certified Analytics Professional) is often critical. Strong communication, strategic vision, and change management skills set exceptional CDAOs apart, enabling them to drive data initiatives enterprise-wide. These competencies ensure organizations leverage data effectively for informed decision-making, innovation, and competitive advantage.

What is a CDAO?

A CDAO, or Chief Data and Analytics Officer, is a senior executive responsible for overseeing an organization's data management, analytics, and data-driven decision-making strategies. The CDAO ensures that data is collected, stored, and analyzed efficiently to support business goals and drive innovation. This role often involves developing data governance policies, leading data science teams, and collaborating with other executives to harness the value of data across departments. The CDAO plays a critical part in transforming data into actionable insights for strategic advantage.

What jobs make $3,000 a month without a degree?

For a CDAO or similar roles, earning $3,000 a month without a degree is uncommon, as these positions typically require advanced education and experience. However, in other fields, jobs such as sales representatives, delivery drivers, or skilled trades like electricians and HVAC technicians can reach this income level with experience and certifications. Many of these roles focus on practical skills, on-the-job training, or licensing rather than formal degrees.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like Chief AI Officer. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and often includes bonuses or stock options.

How does a Chief Data and Analytics Officer (CDAO) typically collaborate with other executive leaders within an organization?

A CDAO works closely with other C-suite executives such as the CEO, CIO, and CTO to align data strategy with overall business objectives. Collaboration often involves establishing data governance frameworks, ensuring data-driven decision-making across departments, and integrating analytics initiatives with existing IT and business processes. Regular cross-functional meetings and strategic planning sessions are common, as the CDAO is responsible for championing a data-centric culture throughout the organization and ensuring that data initiatives support broader organizational goals.

What is a CDAo position?

A CDAo position typically refers to a role involving Chief Data and Analytics Officer responsibilities, focusing on managing data strategy, governance, and analytics initiatives within an organization. It requires strong leadership, data management skills, and familiarity with data tools and compliance standards.

What is CDAO in DOD?

In the Department of Defense (DOD), a Chief Data and Analytics Officer (CDAO) is a senior official responsible for overseeing data management, analytics strategies, and data-driven decision-making across defense agencies. The role involves implementing data governance, ensuring data security, and leveraging analytics tools to support military operations and policy development.
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Infographic showing various Cdao job openings in Reston, VA as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 62% In-person, 9% Hybrid, and 29% Remote job distribution.
Senior Project Manager

Senior Project Manager

Redhorse Corporation

Falls Church, VA • On-site

$175K - $215K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms how the government uses data and technology. We are seeking a dedicated Senior Project Manager to join our team and contribute to the forefront of AI, deep learning, and autonomous capabilities within the Department of War (DoW). Working closely with the Chief Digital and Artificial Intelligence Office (CDAO), you will design, build, and integrate AI/ML solutions focused on autonomous warfare, making a significant impact on national security.
Key responsibilities
  • Autonomous Warfare: Support the implementation of CDAO's Enterprise capabilities for autonomous systems development to include the development and integration of AI/ML solutions with existing government IT infrastructure and systems, focusing on improving autonomous warfare capabilities.
  • System Design & Prototyping: Independently translate concepts into preliminary/detailed designs and working prototypes. Oversee modeling and simulation (M&S) contract and project execution to augment lean team capacity while managing design risks and configuration.
  • Lifecycle Management & Communications: Independently manage all project lifecycle stages (requirements gathering, schedules, execution). Effectively communicate and distill complex technical concepts for both technical and non-technical stakeholders.
  • Strategic Planning & IT Oversight: Direct long-range project planning and cross-functional IT operations. Oversee major program architectures (network, database, systems) and advise senior leaders on strategic milestones and industry solutions.
  • Data Security and Management: Oversee data processing systems from inception to conclusion. Serve as a technical liaison to analyze user needs, convert functional requirements into technical specifications, maintain detailed documentation and metrics, understand data management and security policies, and communicate and distill complex concepts for government stakeholders.
  • Acquisitions & Contract Support: Provide technical support for CDAO acquisitions (market research, statements of work, contract administration, etc). Navigate DoW acquisition and budget execution cycles to drive projects forward and manage contract close-outs.
  • AI/ML Development: Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Stay current with the latest AI/ML research and technologies, assessing their potential application in government projects.
  • Collaboration: Contribute to cross-functional team efforts on CDAO's large language model task force. Participate in code reviews, testing, and debugging to ensure high-quality product delivery. Communicate complex AI/ML concepts and results clearly to non-technical stakeholders.
  • Standards Compliance: Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Apply National Institute of Standards and Technology (NIST) guidelines for DoW information assurance, including NIST 800-37 and NIST 800-53.
  • Cybersecurity (RMF) & Compliance: Apply DoW Risk Management Framework (RMF) and NIST standards to identify, implement, and manage cybersecurity controls, proactively escalating implementation risks to government leads.

Required experience/clearance
  • US citizenship with an active Department of War (DoW) Top Secret (TS) security clearance and current access to Sensitive Compartmented Information (SCI) (TS/SCI) is required.
  • Bachelor's degree in engineering and 8+ years of related experience, or a combination of advanced degree/experience.
  • Experience in system development/configuration, integration, and support efforts. Knowledge and execution with DoW systems is highly desired.

Desired experience
  • Experience in autonomous warfare development.
  • Extensive knowledge of Cloud architecture, application, and integration (e.g., DataBricks, AWS, Azure, GCP).
  • Proven experience with software development (in languages such as Python) and/or development of artificial intelligence/machine learning software.
  • Experience with large language models (LLMs) and natural language processing (NLP).
  • Experience with containerization technologies (Docker, Kubernetes).

$175,000 - $215,000 a year
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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