• AI Governance & Data Readiness Professional

    Insight Global (Tuckahoe, VA)


    Job Description

    Key Responsibilities Governance Frameworks & Policy Development

     

    Collaborate with the AI Center of Excellence to develop and maintain AI governance policies, procedures, and standards.

     

    Align governance efforts with ISO/IEC 42001, NIST AI RMF, and internal SAFE (Steward of AI Fairness & Ethics) protocols.

     

    Collaborate with Data Science teams to define decision boundaries for AI/ML models ensuring appropriate monitoring, bias mitigation, explainability, and transparency of models.

     

    Risk Management & Compliance

     

    Collaborate with Procurement and AI Center of Excellence to conduct risk assessments and impact analyses for AI technologies.

     

    Monitor compliance with internal policies and external regulations (e.g., GDPR, CCPA, HIPAA).

     

    Interface with Procurement to ensure Responsible AI questions are addressed in supplier requisitions and contracts.

     

    Data Readiness for AI Applications

     

    Partner with Enterprise Data Strategy teams to ensure data used in AI systems is high-quality, well-documented, and fit for purpose.

     

    Define and enforce standards for data lineage, metadata management, and data stewardship to support AI model development and monitoring.

     

    Collaborate with Data Governance and Engineering teams to ensure data pipelines are auditable, secure, and aligned with AI governance requirements.

     

    Establish protocols for data minimization, anonymization, and synthetic data generation where appropriate.

     

    Ensure data sources used in AI applications meet ethical sourcing standards and are free from systemic bias.

     

    Establish governance framework and guardrails required for GenAI applications and use of LLMs/SLMs at large.

     

    Stakeholder Collaboration

     

    Partner with Legal, Compliance, IT, and business units to align governance initiatives.

     

    Support the Information Governance Advisory Board (IGAB) and AI Council with quarterly packets and policy updates.

     

    Monitoring & Reporting

     

    Collaborate with Data Science and AI Center of Excellence teams to establish metrics to evaluate AI system performance, fairness, and robustness.

     

    Ensure traceability between data inputs, model decisions, and business outcomes.

     

    Training & Enablement

     

    Provide training and guidance on AI governance practices.

     

    Partner with AI Center of Excellence to lead internal awareness campaigns on ethical AI use and data handling.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

    Qualifications

    Bachelor’s or Master’s in Computer Science, Law, Data Science, or related field.

     

    3+ years in AI governance, data strategy, compliance, or risk management.

     

    Familiarity with AI/ML technologies and governance tools (e.g., Databricks, Purview, Profisee, Collibra, Informatica, Alation).

     

    Strong analytical, communication, and cross-functional collaboration skills.

    Preferred Experience

    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.

     

    Experience in data readiness assessments and data quality frameworks for AI/ML applications.