Director, Data & AI Governance

Overview: Salary Range: $152,501- $256,286 Build trusted data foundations and enable responsible, value-driven AI adoption. The Director, Data & AI Governance leads enterprise governance for data and AI across Yusen Logistics Americas. The role sets policies, standards, ownership, decision rights, lifecycle controls, and risk guardrails in partnership with business leaders, IT, Cybersecurity, Legal, Compliance, HR, Procurement, and Internal Audit. The Director owns governance requirements and oversight; business leaders own outcomes and data accountability; IT and Cybersecurity own technical delivery; and Legal, Compliance, and Internal Audit retain interpretation and independent assurance. Initial priorities are classification, retention, stewardship, quality, and Copilot readiness.. Responsibilities: 1. Enterprise Data Governance Set the enterprise data governance strategy, policies, operating model, roadmap, ownership, stewardship, and decision rights. Define standards for classification, access, sharing, retention, disposal, metadata, lineage, and data quality. Lead the Data & AI Governance Council, maintain the catalog and glossary, coordinate governance for new solutions, and report metrics, risks, and decisions. 2. AI Governance and Responsible Enablement Establish the AI governance framework, acceptable-use standards, decision rights, and lifecycle controls. Operate a single intake and risk-tiering process for AI ideas, pilots, embedded capabilities, and third-party tools. Coordinate reviews, maintain the AI inventory, define responsible-AI requirements, and help approved use cases move safely from pilot to production. 3. Business Ownership, Adoption, and Value Ensure each initiative has a clear business problem, sponsor, users, value case, KPIs, adoption plan, and risk owner. Drive data and AI literacy, communications, and champion networks with HR and business leaders. Track adoption, value, quality, risk, and scalability; recommend whether initiatives should scale, change, or stop. 4. Data Protection Requirements and Control Oversight Define protection requirements for sensitive company, customer, employee, carrier, and partner information. Partner with IT and Cybersecurity to translate requirements into access, labeling, DLP, encryption, logging, and monitoring controls. Review coverage, coordinate exceptions and escalations, and represent data governance during material data or AI incidents. 5. Privacy, Legal, Compliance, and Assurance Coordination Monitor relevant legal, regulatory, privacy, contractual, and governance developments and communicate material impacts. Translate Legal and Compliance guidance into operating standards and coordinate privacy, data protection, and AI impact assessments. Maintain evidence for audits and customer reviews, while independent assurance remains with Internal Audit and Compliance. 6. Third-Party and Vendor Governance Set data and AI requirements for vendors, platforms, models, consultants, and embedded capabilities. Coordinate cross-functional assessments of data use, access, residency, retention, model training, auditability, incident duties, portability, and exit risk. Track material third-party risks, exceptions, remediation, and periodic reassessments. Qualifications: Required Background Bachelor’s degree in a relevant field; advanced degree preferred. 8+ years in data or AI governance, data management, analytics, digital transformation, enterprise architecture, or information governance. Proven success building cross-functional governance programs and influencing senior stakeholders without direct authority. Working knowledge of data lifecycle, responsible AI, Microsoft 365, Purview, Copilot, cloud and data platforms, cybersecurity, and privacy controls. Strong judgment, integrity, communication, facilitation, and change leadership; logistics experience is preferred. Preferred Credentials CDMP/DCAM, AIGP/CIPM, relevant Microsoft certifications, or comparable change, …

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