AI Governance & Data Readiness Professional -- VARDC5691659

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.