Manager, Enterprise Data Standards & Domain Execution

Duties & Responsibilities

Support the implementation and sustainment of enterprise data standards by translating standards into actionable domain-level execution plans, facilitating business rule documentation, validating data quality reporting, and ensuring remediation actions are tracked through completion.

The role may temporarily support domain leadership where business ownership gaps exist, but must establish clear exit criteria and transition accountability back to the appropriate business owner.

Key Responsibilities

• Lead enterprise data standards execution across assigned domains
• Translate enterprise data standards into actionable steps, business rules, and execution plans
• P业与业务所有者和领域负责人合作，定义完整性、准确性、所有权、使用和源数据标准
• 在领域利益相关者之间进行工作坊，以文档标准、决策、开放问题和补救措施
• 确认源数据的对齐和下游使用要求
• 跟踪对数据标准的遵守情况，并将差距、所有权问题或不合规情况升至高层
• 协调识别数据质量问题，并确保补救计划被分配、监控并执行由业务所有者
• 确认仪表板、指标和报告反映真实的数据质量问题
• 保持对领域绩效、风险、障碍、所有权缺口和执行状态的可见性
• 协调跨业务、数据治理、IT和技术合作伙伴的问题解决
• 在业务所有权缺失时暂时支持领域领导，具备明确的退出标准和过渡计划
• 准备领域级别的状态更新、风险、决策请求和升级事项

Scope & Operating Model

This role drives standards execution, governance discipline, issue visibility, and cross-functional coordination.

This role may temporarily support domain leadership when ownership gaps exist but does not serve as the permanent business owner.

This role does not own technical solution design, data engineering remediation, system configuration, or dashboard development unless explicitly assigned.

Education & Qualifications

• Bachelor’s degree in business, operations, supply chain, information systems, data management, or related field
• 5–7+ years of relevant experience in data, operations, governance, transformation, or program execution roles
• Experience working across business, IT, data standards, and technical teams
• Strong facilitation, problem-solving, stakeholder management, and cross-functional communication skills
• Experience documenting business rules, decisions, open issues, and execution plans
• Experience with SAP or similar enterprise systems
• Ability to manage ambiguity, escalate blockers, and drive accountability without direct ownership of all execution activities
• Experience supporting enterprise data standards, data quality, master data, or data standards initiatives
• Experience with reporting validation, dashboard requirements, exception tracking, and data quality metrics
• Familiarity with source-of-truth alignment, downstream data usage, and domain-based data ownership models
• Experience preparing status updates, risks, and decision asks for governance forums or senior leadership