Working familiarity with AI/ML governance concepts sufficient to partner with analytics, data science, and platform teams on governed model use cases, including feature governance and reusable feature definitions, model input lineage, model monitoring and drift awareness, responsible AI and human review expectations, and controls for PHI/PII, consent, bias, explainability, auditability, and governed use of next-best-action, next-best-customer, patient risk, churn, recommender, NLP insight extraction, and engagement propensity models. This is a newly created governance leadership role accountable for establishing and running KKNA's enterprise data governance program - the data catalog and business glossary, the data access governance model, the data quality management capability, and the governance policies and SOPs that support them - across the enterprise data lake and connected source systems.