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AI Governance & Data Readiness Professional -- VARDC5691659
AI Governance & Data Readiness Professional -- VARDC5691659Compunnel Inc. • Richmond, VA, United States
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AI Governance & Data Readiness Professional VARDC5691659

AI Governance & Data Readiness Professional VARDC5691659

Compunnel Inc. • Richmond, VA, United States
[job_card.variable_days_ago]
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  • [job_card.temporary]
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We are seeking an experienced AI Governance & Data Readiness Professional with 5+ years in Data Governance and 2+ years dedicated to AI governance and AI-driven applications . This role will support enterprise-level governance initiatives, data readiness activities, and cross-functional alignment for responsible AI deployment.

AI Governance & Data Readiness Professional

Location : Headquarters (Hybrid)

03+ Months Contract Possibility of Extension or Conversion

Pay rate : $84 to $89 / hr.

Work Setup : Hybrid — Strong preference for a local candidate. Monthly onsite travel required.

Qualifications

Required

  • Bachelor’s or Master’s degree in Computer Science, Law, Data Science, or a related field.
  • 3+ years of experience in AI governance, data strategy, compliance, or risk management.
  • Hands-on familiarity with AI / ML technologies and governance tools such as Databricks, Purview, Profisee, Collibra, Informatica, Alation , etc.
  • Strong analytical abilities, communication skills, and cross-functional collaboration experience.

Preferred

  • Experience with SAFE protocols and AI lifecycle documentation.
  • Prior involvement in enterprise governance boards or policy committees.
  • Knowledge of procurement workflows and supplier risk assessments .
  • Exposure to data readiness assessments , data quality frameworks , and AI / ML data preparation .

    • Key Responsibilities

    Governance Frameworks & Policy Development

  • Develop and maintain AI governance policies, standards, and operating procedures in collaboration with the AI Center of Excellence.
  • Align governance practices with ISO / IEC 42001 , NIST AI RMF , and internal SAFE guidelines.
  • Work with Data Science teams to establish decision boundaries for AI / ML models and ensure monitoring, explainability, fairness, and transparency.

    • Risk Management & Compliance

  • Conduct AI technology risk assessments and impact analyses with Procurement and the AI Center of Excellence.
  • Ensure compliance with internal policies and external regulations (GDPR, CCPA, HIPAA, etc.).
  • Support Responsible AI evaluations within procurement and supplier contract workflows.

    • Data Readiness for AI Applications

  • Collaborate with Enterprise Data Strategy teams to validate data quality, documentation, and suitability for AI / ML use cases.
  • Define standards for data lineage, metadata management, stewardship, and AI model data dependencies.
  • Ensure data pipelines are auditable, secure, and aligned with governance requirements.
  • Establish protocols for data minimization, anonymization, and synthetic data generation.
  • Validate ethical sourcing and bias-free data practices.
  • Build governance guardrails for GenAI and LLM / SLM usage across the organization.

    • Stakeholder Collaboration

  • Partner with Legal, Compliance, IT, and business units to support enterprise governance initiatives.
  • Assist the Information Governance Advisory Board (IGAB) and AI Council with quarterly updates, documentation, and governance reporting.

    • Monitoring & Reporting

  • Work with Data Science and AI teams to define performance, fairness, and robustness metrics for AI systems.
  • Ensure traceability between data inputs, model outputs, and business outcomes.

    • Training & Enablement

  • Provide training and guidance on AI governance principles and responsible AI practices.
  • Collaborate with the AI Center of Excellence to support awareness campaigns on ethical AI and data handling.
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