Role: AI Data Governance Lead
Location: Columbus, OH
Experience: 10+ years preferred
Employment Type: Contract
Priority: Immediate Hiring
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Job Description:
Isoft is seeking an experienced AI Data Governance Lead to drive data governance strategy, AI governance frameworks, data quality, and regulatory compliance initiatives. The ideal candidate will have strong expertise in enterprise data governance, responsible AI, data privacy, risk management, and AI/ML lifecycle governance.
The candidate will collaborate with business stakeholders, data engineering teams, data scientists, AI/ML teams, and compliance professionals to ensure that enterprise data and AI solutions are secure, trustworthy, transparent, and compliant with applicable regulations.
Key Responsibilities:
Define and implement enterprise-wide data governance and AI governance strategies, policies, standards, and operating models.
Establish governance frameworks for AI/ML models, including model risk management, explainability, transparency, fairness, and accountability.
Develop and maintain data governance policies covering data quality, metadata management, data lineage, data classification, ownership, and stewardship.
Establish responsible AI principles and controls across the AI development and deployment lifecycle.
Ensure compliance with applicable data privacy, security, regulatory, and industry-specific requirements.
Partner with data science, engineering, architecture, cybersecurity, legal, risk, and compliance teams to operationalize governance controls.
Define data quality metrics, governance KPIs, control frameworks, and reporting mechanisms.
Oversee AI risk assessments, model inventories, model documentation, and ongoing monitoring processes.
Drive implementation of data governance tools, metadata catalogs, lineage solutions, and AI governance platforms.
Establish processes for identifying, assessing, mitigating, and reporting data and AI-related risks.
Develop governance documentation, standards, procedures, and executive-level reporting.
Lead governance committees and collaborate with senior stakeholders to promote data accountability and responsible AI adoption.
Required Qualifications:
Extensive experience in data governance, enterprise data management, AI governance, or related fields.
Strong understanding of AI/ML concepts, responsible AI principles, and model lifecycle management.
Experience with data quality, metadata management, data lineage, master data management, and data cataloging.
Knowledge of data privacy, information security, regulatory compliance, and enterprise risk management.
Experience developing governance frameworks, policies, standards, and control procedures.
Strong stakeholder management, communication, leadership, and problem-solving skills.
Ability to translate complex governance and regulatory requirements into practical business and technology controls.
Preferred Skills:
Familiarity with frameworks and standards such as NIST AI Risk Management Framework, ISO/IEC 42001, and relevant data protection regulations.
Experience with data governance platforms such as Collibra, Alation, Informatica, or Microsoft Purview.
Understanding of model risk management frameworks and AI lifecycle controls.
Experience working in regulated industries, preferably financial services.
Familiarity with cloud data platforms, data architecture, analytics, and machine learning environments.
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