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Ai Risk Manager Jobs in West Virginia (NOW HIRING)

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Advanced Analytics, AI Governance, AI Platforms, AI Risk Management, Data Science Certifications: CompTIA Security+ CE | CompTIA - CompTIA Experience: 8 + years of related experience US Citizenship ...

Knowledge of artificial intelligence software security frameworks is strongly preferred, including OWASP AI Security and Privacy Guide, NIST AI Risk Management Framework, Cybersecurity AI (CAI), Open ...

Drive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation. * Coordinate with ISSOs, business owners, and other ...

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Develop predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data. * Support the implementation of Generative AI solutions, Large ...

Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI is seeking a Senior Manager ... FX) risk mitigation, and oversight of banking relationships. What you'll do: * Oversee global ...

... risk management in line with GDPR and organizational standards. • AI Platforms & Data Foundations - applying hands-on experience with Azure AI services, Databricks, Azure OpenAI, and related modern ...

... management, engineering, design, and business stakeholders. The Principal AI Engineer is ... Prototype and validate advanced AI approaches to prove out architectural direction and de-risk ...

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Showing results 1-20

Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in West Virginia? For Ai Risk Manager jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in West Virginia look for? The top searched job categories for Ai Risk Manager jobs in West Virginia are:
What cities in West Virginia are hiring for Ai Risk Manager jobs? Cities in West Virginia with the most Ai Risk Manager job openings:
Infographic showing various Ai Risk Manager job openings in West Virginia as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
GRC and AI Governance - Senior Manager

GRC and AI Governance - Senior Manager

CFGI

Charleston, WV • On-site

Full-time

Posted 4 days ago


Job description

CFGI is seeking a Cybersecurity GRC & AI Governance Subject Matter Expert to lead and deliver strategic advisory engagements that strengthen clients’ security governance, risk management, compliance posture, AI governance programs, and privacy programs. This role blends hands-on delivery, executive communication, and practice leadership. You will work directly with CISOs, CIOs, CFOs, General Counsel/Privacy Counsel, Risk Leaders, and PE deal teams to design pragmatic programs, build operating models, and drive measurable outcomes.

The ideal candidate brings deep expertise in GRC frameworks, regulatory compliance, privacy, and AI governance and compliance (e.g., NIST AI RMF, EU AI Act), strong consulting instincts, and a proven ability to lead teams and manage multiple client workstreams.

Key Responsibilities:

Client Advisory & Delivery:

  • Lead end-to-end GRC and privacy engagements, including scoping, planning, execution, and executive reporting.
  • Design and operationalize cybersecurity governance models (policies, standards, risk appetite, committees, reporting KPIs/KRIs).
  • Build and mature enterprise risk programs: risk assessments, risk registers, control libraries, and control testing approaches.
  • Lead AI governance and compliance engagements — design and operationalize AI governance frameworks, conduct AI risk and impact assessments, build model inventories, establish AI use-case classification and tiering, advise on responsible AI principles, and guide clients through compliance with the EU AI Act, NIST AI RMF, and ISO 42001.
  • Develop and implement security policies, standards, and procedures aligned to common frameworks (e.g., NIST CSF, ISO 27001/27002, CIS, SOC 2, CMMC, FedRAMP, NIST AI RMF, ISO 42001).
  • Support regulatory readiness and compliance initiatives (e.g., SEC cyber disclosure support, NYDFS 500, GDPR/UK GDPR, CCPA/CPRA, HIPAA, PCI DSS, SOX ITGC, EU AI Act, CMMC, FedRAMP alignment where applicable).
  • Stand up or enhance privacy programs: data mapping/inventories, DPIAs/PIAs, DSAR processes, retention, consent management, third-party privacy risk, and privacy by design.
  • Support CMMC readiness activities where applicable, including gap analyses and compliance alignment to NIST SP 800-171 (experience a plus, not required).
  • Perform vendor/third-party risk assessments and implement scalable TPRM operating models.
  • Coordinate cross-functional stakeholders (Legal, IT, Security, Compliance, Product, HR) to drive outcomes and adoption.

Executive Communication & Stakeholder Management:

  • Translate complex technical, regulatory, privacy, and AI governance requirements into business-oriented recommendations.
  • Help clients communicate AI risk posture and governance maturity to boards, regulators, and executive leadership, including EU AI Act compliance status and NIST AI RMF alignment.
  • Deliver executive-ready artifacts: board/audit committee materials, roadmaps, operating models, heatmaps, and risk dashboards.
  • Serve as a trusted advisor to senior leadership; confidently present findings and influence decisions.

Practice Development & Leadership:

  •  Support business development through proposal writing, SOW development, client presentations, and solution shaping.
  • Contribute to go-to-market development: offerings, templates, accelerators, methodologies, and points of view.
  • Mentor and develop consultants and managers; lead teams across multiple engagements while maintaining quality and delivery rigor.
  • Partner with other CFGI service lines (Accounting Advisory, CFO Advisory, Technology Enablement) to deliver integrated solutions.

Required Qualifications:

  • Eight plus years of relevant experience in cybersecurity GRC, privacy, governance, risk management, compliance, or consulting (level will map to experience).
  • Bachelor’s degree in a related field is required.
  • Demonstrated expertise implementing and operationalizing cybersecurity frameworks and control programs: NIST CSF / NIST 800-53, ISO 27001/27002, SOC 2, CIS, NIST AI RMF, ISO 42001; familiarity with CMMC and FedRAMP a plus.
  • Strong privacy fundamentals and experience with privacy program build-out and operations: GDPR/UK GDPR, CCPA/CPRA; experience with HIPAA/GLBA or other sectoral privacy standards is a plus.
  • Demonstrated expertise in AI governance and compliance frameworks (NIST AI RMF, EU AI Act, ISO 42001), including AI risk classification, algorithmic impact assessments, responsible AI principles, and practical application within enterprise or client-facing advisory engagements.
  • Exposure to CMMC or FedRAMP readiness activities is a plus but not required.
  • Experience performing or leading: enterprise/security risk assessments, control design/testing, policy and standards development, TPRM programs, compliance/regulatory readiness programs, AI governance program design and implementation.
  • Exceptional written and verbal communication skills with a track record of producing executive-level deliverables.
  • Proven ability to lead teams, manage timelines/budgets, and deliver in a client-facing environment.

Preferred Qualifications (Nice-to-Have):

  • Certifications: CISM, CISSP, CRISC, CISA, ISO 27001 Lead Implementer/Lead Auditor, CIPM/CIPP (E/US), CDPSE, AI/ML-related certifications (e.g., CAIAP, ISO 42001 Lead Implementer); CMMC RP or CCA a plus.
  • PE/portfolio company experience: rapid maturity uplift, integration, carve-out/stand-up, and pragmatic road mapping.
  • Exposure to incident readiness, tabletop exercises, and crisis communications coordination with Legal/Comms.
  • Experience supporting audits and assurance activities (SOC 2 readiness, ISO certification readiness, CMMC certification readiness, internal audit coordination).
  • Experience advising on AI governance strategy, responsible AI programs, or AI risk management within regulated industries (financial services, healthcare, energy, defense); familiarity with AI lifecycle management, model validation, and AI supply chain risk.

Why CFGI:

  • High-impact work with sophisticated clients and private equity portfolio companies.
  • Opportunity to shape and scale a fast-growing Cybersecurity practice.
  • Collaborative culture with autonomy, flexibility, and strong leadership support.
  • Competitive compensation, benefits, and career growth trajectory.

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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About CFGI

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2000