Algorithm Bias Auditor (Sample Role)

Note: This is a suggested job description template provided by ExecSearches for the emerging field of AI Governance.
    
    About the Role:
    We are seeking a highly analytical Algorithm Bias Auditor to serve as a crucial compliance guardian for our technological systems. In this role, you will lead methodical investigations into the machine learning models used across our enterprise to ensure they are fair, transparent, and free from discriminatory outcomes.
    
    Key Responsibilities:
    - Lead rigorous, independent bias audits on algorithms across all business units to comply with mandates such as NYC Local Law 144.
    - Stress-test machine learning models for disparate impact and unintended discriminatory outcomes.
    - Produce comprehensive bias guidelines and mitigation strategies for US-based development teams.
    - Document and report algorithmic fairness findings to technical teams and key stakeholders.
    
    Qualifications:
    - Advanced degree in Data Science, Computer Science, Statistics, or a related field.
    - Deep technical understanding of machine learning models and statistical evaluation.
    - Proficiency in specialized auditing toolkits (e.g., IBM AI Fairness 360, Google's What-If Tool) and custom Python scripting.
    - Strong ability to translate complex statistical findings into actionable compliance reports.
    
    Salary Expectations: $120,000 - $180,000 annually.