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Overnight Governance Risk Compliance Jobs in Reston, VA

... Compliance Consultant. The Senior Consultant will lead a workstream led related to cybersecurity risk management and risk governance within the agency. This position provides leadership and subject ...

AVP, AI Risk and Governance

Arlington, VA · On-site

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

AVP, AI Risk and Governance

Arlington, VA · On-site +1

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

... governance forums * Lead issue identification, root cause analysis, remediation planning, and ... operations, risk management, or compliance within a regulated financial institution required

Showing results 41-60

Overnight Governance Risk Compliance information

See Reston, VA salary details

$32.8K

$71.5K

$116.5K

How much do overnight governance risk compliance jobs pay per year?

As of Aug 21, 2026, the average yearly pay for overnight governance risk compliance in Reston, VA is $71,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What is an overnight governance risk compliance role?

Overnight Governance Risk Compliance roles are positions responsible for monitoring and ensuring that an organization adheres to regulatory, legal, and internal policy requirements during overnight hours. Professionals in these roles often review transactions, assess risks, respond to compliance alerts, and implement controls to prevent violations outside of standard business hours. Their work helps organizations maintain operational integrity, identify potential risks early, and ensure continuous compliance with industry standards and regulations.

What are the key skills and qualifications needed to thrive as an overnight governance risk compliance professional?

To excel as an Overnight Governance Risk Compliance professional, you need a solid understanding of risk management, compliance frameworks (such as SOX, GDPR, or ISO 27001), and strong analytical abilities, often supported by a relevant degree or certifications like CISA or CRISC. Proficiency with GRC software platforms, audit management tools, and reporting systems is typically required. Attention to detail, integrity, effective communication, and the ability to work independently during off-peak hours are standout soft skills. These skills are crucial to ensure ongoing regulatory compliance, effective risk mitigation, and the safeguarding of organizational assets during non-standard business hours.

What are some common challenges faced by professionals working overnight in governance, risk, and compliance roles?

Overnight GRC professionals often encounter challenges such as maintaining consistent communication with daytime teams, managing fatigue due to unconventional hours, and ensuring timely responses to incidents that may arise outside of regular business hours. Additionally, they must remain vigilant to rapidly changing regulatory requirements and risks that can emerge overnight. Successful candidates typically develop strong time management skills and leverage technology to collaborate effectively with global teams and stakeholders.

What is the difference between Overnight Governance Risk Compliance vs Overnight Compliance Analyst?

AspectOvernight Governance Risk ComplianceOvernight Compliance Analyst
CertificationsGRC certifications, such as CRISC or CISACompliance certifications, such as CAMS or CCEP
Work EnvironmentFinancial institutions, 24/7 operations, risk-focusedFinancial firms, monitoring compliance, reporting
Employer & Industry UsageBanking, investment firms, regulatory bodiesBanking, asset management, financial services

Overnight Governance Risk Compliance professionals focus on managing and monitoring risk, governance, and compliance frameworks during overnight shifts, often dealing with high-level policies and regulatory adherence. Overnight Compliance Analysts primarily review daily compliance activities, ensure adherence to regulations, and handle reporting tasks. While both roles require compliance knowledge, GRC roles emphasize risk management strategies, whereas Compliance Analysts focus on operational compliance tasks during overnight hours.

What are the most commonly searched types of Governance Risk Compliance jobs in Reston, VA?

The most popular types of Governance Risk Compliance jobs in Reston, VA are:

What cities near Reston, VA are hiring for Overnight Governance Risk Compliance jobs?

Cities near Reston, VA with the most Overnight Governance Risk Compliance job openings:

GDMS Senior AI Governance & Risk Specialist

General Dynamics Mission Systems, Inc

Chantilly, VA • On-site

$144K - $152K/yr

Full-time

Re-posted 11 hours ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

113th of 245 rated software companies


Job description

Basic Qualifications
Bachelor's degree or equivalent is required or the combination of education and relevant work experience plus minimum of 8 years of relevant experience; or Master's degree plus a minimum of 6 years of relevant experience.
Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
Job Description
GDMS operates one of the largest enterprise AI deployments in the defense industry not as a pilot program, not as a proof of concept, but deeply embedded in how our workforce operates every day. Adoption is broad, active, and accelerating, spanning generative AI copilots, LLM-powered applications, and a rapidly growing portfolio of agentic and autonomous AI systems. The governance challenge is not getting people to use AI it is keeping pace with a workforce that already does, while ensuring every deployment meets the risk, security, and compliance standards that mission-critical defense work demands.
As a Sr. AI Governance & Risk Specialist, you will be a core practitioner on the Agentic AI Governance team, executing the day-to-day work that keeps GDMS AI deployment safe, accountable, and trusted. You will conduct and lead AI risk assessments, including real-time risk evaluation for active and in-flight deployments, perform governance audits, evaluate and ensure adherence to government and corporate AI regulations, lead implementation of corrective actions, and serve as a subject matter expert for engineering and program teams navigating the AI lifecycle. You will work directly with agentic tools and applications, bringing firsthand understanding of how they behave, where they fail, and what governance controls actually matter in practice.
This role requires a blend of technical literacy and governance discipline. You do not need to be a researcher or model trainer, but you must understand how AI systems work well enough to assess risk with precision rather than reflexive caution. The right candidate has used agentic tools hands-on, can evaluate an agentic workflow for failure modes, and can translate a NIST AI RMF control into a practical check a program team can execute. You will coordinate with Legal, Privacy, Business Unit leads, AI Reliability Engineering and the Cybersecurity organization to keep GDMS AI velocity ahead of the market without accumulating unacceptable risk. This is foundational work that bridges policy, risk, and technical implementation, requiring sound judgment, the ability to make independent stakeholder judgment calls, and direct accountability for the recommendations you put forward.
Key Responsibilities
AI Governance Execution & Assessment
  • Conduct and lead comprehensive AI risk assessments and governance audits against emerging regulations for generative AI, LLM-based, and agentic applications; document findings, risk ratings, and mitigation strategies, and lead the implementation of corrective actions.
  • Evaluate and ensure adherence to government and corporate AI policies, standards, and regulations across the six layers: AI inventory and discovery; data governance; security and access controls; model assurance; human oversight; and compliance and audit.
  • Apply and maintain tiered governance frameworks calibrated to risk level, ensuring low-risk use cases clear quickly while mid- and high-risk applications receive appropriate scrutiny and escalation.
  • Maintain the enterprise AI use inventory and control framework, including system inventory, risk register, shadow AI detection, approved use catalog, and control mapping, with accurate and current governance tracking; support dashboard reporting and KPI monitoring for AI governance program health.
  • Prepare governance recommendations for approval and escalation, ensuring mid- and high-risk AI systems are escalated with clear risk rationale and decision support materials.
  • Support development of self-service governance tooling, checklists, and playbooks that enable program teams to adopt AI responsibly without requiring individual review for low-risk applications.

Agentic AI Risk & Technical Assessment
  • Assess risks specific to agentic AI systems and multi-agent architectures including tool-calling behavior, memory and retrieval systems, external API access, autonomous decision loops, and agent-to-agent communication patterns.
  • Apply failure mode analysis to evaluate behavioral boundaries, unintended action risks, adversarial prompt vulnerabilities, and out-of-scope execution risks for agentic deployments.
  • Evaluate and document human-in-the-loop (HITL) requirements and escalation thresholds appropriate to each agentic use case based on risk level, decision reversibility, and mission context.
  • Conduct hands-on evaluation of agentic tools and platforms including AI coding assistants, copilot-style applications, and multi-agent orchestration frameworks to ground governance assessments in actual system behavior rather than vendor documentation alone.
  • Implement measures to monitor and mitigate risks associated with AI systems and data flows across GDMS IT and network infrastructure; investigate and manage responses to AI governance incidents, anomalies, and inquiries, working to prevent and mitigate exposure.

Policy, Standards & Regulatory Compliance
  • Maintain AI governance policies for responsible AI deployment, integrating government and corporate AI requirements into policy, standards, procedures, and operational guidance; own the policy lifecycle from drafting through review, approval, and periodic refresh aligned to enterprise risk priorities and evolving regulatory expectations.
  • Translate regulatory requirements, including NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, the EU AI Act, applicable U.S. Executive Orders on AI, and ISO 42001, into clear, actionable internal controls and assessment criteria without creating bureaucratic drag.
  • Monitor the evolving domestic and international AI regulatory landscape; identify changes with organizational impact and escalate findings with recommended policy responses.
  • Coordinate with Privacy, Legal, Cybersecurity, and IT leadership and assess compliance risk against emerging AI regulations, including the EU AI Act, applicable U.S. Executive Orders on AI, and evolving DoD and federal AI policy, identifying control gaps, quantifying exposure, and recommending corrective measures before requirements become binding obligations.
  • Produce compliance reporting on AI controls for internal audit, regulatory examination, and governance committee review, documenting control effectiveness, open findings, and remediation status; support audit readiness activities including evidence collection, control validation, and documentation packages suitable for internal and regulatory stakeholder consumption.

Risk Monitoring, Reporting & Controls Assurance
  • Perform ongoing monitoring and validation of deployed AI systems, including review of model performance, drift indicators, bias signals, and continued alignment with approved use scope.
  • Identify opportunities to apply AI and automation for continuous improvement of the AI governance program itself including automated risk attribution, KPI tracking, and telemetry-driven evidence.
  • Generate AI risk and governance reporting contributing to dashboards, risk posture summaries, and periodic reports for program leadership and cross-functional stakeholders.
  • Evaluate effectiveness of cybersecurity controls applied to AI systems (NIST CSF, NIST AI RMF), collaborating with the Cybersecurity organization to integrate governance without duplicating ownership.
  • Support vendor and third-party AI risk assessments, ensuring AI components from external providers meet GDMS contractual, regulatory, and governance requirements.

Knowledge, Skills & Abilities
  • Collaborates and works effectively cross-functionally throughout the business, including with Legal, Information Technology, Cybersecurity, Security, and Contracts organizations.
  • Excellent computer and data management knowledge, including IT Security, Cybersecurity, and cloud infrastructure concepts as they apply to AI system risk.
  • Excellent ability to communicate comfortably with senior management, translating complex AI risk and governance topics into clear, decision-ready information.
  • Excellent ability to manage a risk profile and design effective mitigation strategies appropriate to AI and agentic system risk scenarios.
  • Working knowledge of NIST AI RMF, OMB AI guidance, FAR/DFARS AI requirements, DoD Responsible AI principles, CMMC implications, EU AI Act, GDPR, UK AI Governance Framework, ISO 42001, OECD AI Principles, and emerging state laws (Colorado, California, Virginia, Texas).
  • Hands-on familiarity with Microsoft Copilot, Microsoft Purview, OpenAI, Anthropic, Google, and open-source AI ecosystems; awareness of Palantir, Snowflake, Databricks, ServiceNow.
  • Understanding of Agentic AI 7-layer operating model, MCP architectures, tool calling, agent-to-agent communications, and human approval gates.
  • Excellent analytical, written, and presentation skills; demonstrated ability to produce governance documentation, policy materials, and stakeholder briefings of high quality.

Education and Experience
  • Bachelor's degree or equivalent is required, or the combination of education and relevant work experience, plus a minimum of 8 years of relevant experience; or
  • Master's degree plus a minimum of 6 years of relevant experience in AI governance, technology risk, cybersecurity GRC, responsible AI, or AI/ML compliance.
  • Certifications highly sought include IAPP AI Governance Professional (AIGP), Certified Risk and Information Systems Control (CRISC), Advanced AI Risk (AAIR), ISO 42001.

#LI-Hybrid
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $144,451.00 - USD $152,000.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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