The Senior Manager is a capability leader within Data Engineering & Semantics, owning one or more capability areas — such as Data Engineering, Data Product Management or Data Trust & Reliability Engineering — while retaining sufficient breadth to lead across the team mandate and complex CEI PODs. The role turns DSM-led business requirements into trusted, governed and AI-ready data, including the CL layer of the AI Empowered Consumption Layer (AICL), so that reporting, analytics and AI solutions work from one consistent data foundation.
- Own one or more team capability areas end to end, defining capability roadmaps, engineering standards, reusable patterns, controls, service expectations and lifecycle outcomes across China CEI
- Lead and govern Data Engineering across L1–L4 — ingestion, integration, transformation, storage and serving for structured, unstructured and knowledge data, and reporting and business intelligence foundations
- Lead technical management and lifecycle governance of BI platforms, including workspace and environment administration, access controls, release management, refresh reliability, performance, capacity and license utilization
- Lead and govern Data Product Management — reusable, governed data products and data agents, including the CL layer of the AI Empowered Consumption Layer (AICL) and agent-facing data contracts
- Lead and govern Technical Semantics — semantic models, metadata, taxonomies and technical mappings that implement DSM-approved business definitions and harmonized KPIs
- Bachelor’s degree or above in Computer Science, Data Engineering, Data Science, Information Systems or a related computing discipline
- Nice to have: Microsoft Power BI
- Nice to have: Tableau
- Nice to have: Qlik Sense
- Nice to have: DAX