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.