FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Semantics, focusing on data governance, quality, and privacy, while leading the development of governed data products and semantic models. Proficient in BI platforms and modern data architecture, with a strong emphasis on collaboration across diverse stakeholders.
Highest-signal resume keywords
Data EngineeringBusiness Intelligence PlatformsData GovernanceSemantic ModelingChina Data Privacy
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLDimensional ModelingSemantic ModelingData Quality ChecksPerformance TuningData ConnectivityDashboard DevelopmentData LineageObservabilityData Architecture
Soft Skills
CollaborationMentoringStakeholder ManagementRisk ManagementAgile Delivery
Tools & Technologies
Microsoft Power BITableauQlik SenseDAXPower Query
Certifications & Qualifications
CSPOPSPOCSMPSMSAFe POPMSAFe Agilist
Industry Keywords
Pharmaceutical IndustryHighly Regulated IndustryChina TechnologyData PrivacyVendor Environment
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Own one or more Data Engineering & Semantics capability areas end to end
- Define capability roadmaps, engineering standards, reusable patterns, controls, service expectations and lifecycle outcomes across China CEI
- Lead and govern Data Engineering across ingestion, integration, transformation, storage and serving for structured, unstructured and knowledge data
- Lead technical management and lifecycle governance of BI platforms, including administration, access controls, releases, refresh reliability, performance, capacity and license utilization
- Implement GCA DSM-approved business definitions and KPIs
- Lead and govern reusable, governed data products and data agents, including the AICL CL layer and agent-facing data contracts
- Lead and govern semantic models, metadata, taxonomies and technical mappings
- Lead and govern technical data governance controls, data quality checks, lineage, observability, China data privacy and cross-border controls
- Serve as senior design authority for complex data products, semantic architectures and data-reliability solutions
- Lead data contributions to complex PODs from MVP scoping through scale
- Shape capability capacity, skills mix and partner leverage across internal, PIC and external resources
- Manage material risks and dependencies
- Mentor Managers, Senior Associates and specialists
- Collaborate with the Director, Data Engineering & Semantics, CEI PODs, PIC, GCA DSM, AITO, Enterprise Engineering, global data teams, and privacy, legal and compliance stakeholders
- Deliver AICL as one POD with AITO AI engineering and GCA DSM
- Deliver governed, reusable data products, semantic models and the AICL CL layer
- Improve data quality, lineage, observability and adherence to China data and privacy requirements
Requirements
What you’ll need- Modern data engineering, data architecture, data products, reporting and business intelligence foundations
- Hands-on expertise in at least one major BI platform, such as Microsoft Power BI, Tableau or Qlik Sense
- Experience with platform administration, SQL, dimensional and semantic modeling, data connectivity and refresh, row-level security, dashboard development and performance tuning
- Proficiency in relevant platform-specific technologies, such as DAX and Power Query for Power BI
- Governed self-service BI enablement
- Semantic modeling, metadata, taxonomy and ontology
- Knowledge and unstructured data engineering
- Data enablement for AI retrieval and agents
- Technical data governance, data quality, lineage and observability
- China data privacy and cross-border controls
- Bachelor’s degree or above in Computer Science, Data Engineering, Data Science, Information Systems or a related computing discipline
- 10+ years of progressive relevant experience based on a bachelor’s degree; a master’s or doctoral degree may reduce the years required
- Agile delivery, product metrics, adoption measurement and evidence-based iteration
- Ability to work across business, product, technology, data and governance stakeholders in a matrixed environment
- Experience in the pharmaceutical or another highly regulated industry, and the China technology, data, privacy or vendor environment, is preferred
- Agile and product certifications are preferred, including CSPO, PSPO, CSM, PSM, SAFe POPM or SAFe Agilist
Benefits
Comp & perks- Equal opportunity employer
- Acceptable and prohibited AI-use guidelines available during recruitment