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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Semantics, with a strong focus on data governance, BI platform management, and the development of governed data products. Proficient in leading cross-functional collaboration and ensuring compliance with data privacy regulations.
Highest-signal resume keywords
Data EngineeringBusiness Intelligence Platform ManagementData GovernanceSemantic ModelingAgile Delivery
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 QualityData LineagePerformance TuningDAXPower QueryData ConnectivityDashboard Development
Soft Skills
CollaborationMentoringStakeholder ManagementRisk ManagementCommunication
Tools & Technologies
Microsoft Power BITableauQlik Sense
Certifications & Qualifications
CSPOPSPOCSMPSMSAFe POPMSAFe Agilist
Industry Keywords
Data PrivacyCross-Border ControlsPharmaceutical IndustryData EngineeringChina Technology
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, release management, 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, and 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 GCA DSM, AITO, Enterprise Engineering, PIC, CEI PODs, global data teams, and privacy, legal and compliance stakeholders
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, and SAFe POPM or SAFe Agilist
Benefits
Comp & perks- Equal opportunity employer
- Pfizer candidate AI-use guidelines for acceptable and prohibited uses of AI during recruitment