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.