Data Product Manager
China - DalianFull-TimeManagerProduct / Project
What You'll Do
- Business Requirement Analysis & Data Modeling
- Master Data Modeling: Design logical data models, including attribute definitions, data types, constraint rules, hierarchies, and entity-relationship (ER) mappings.
- Standardization: Lead the development of data classification standards, field references, and descriptive templates to ensure unified data definitions across the enterprise.
- Product Functionality & Lifecycle Management
- Workflow Design: Define the full lifecycle management of master data, covering request, validation, QC and approval. Also including data quit process.
- External Data Integration: Plan and integrate third-party authoritative data sources for automated data enrichment and authenticity verification.
- Core Feature Development: Design logic for data matching, de-duplication, and the definition of "Golden Record" survivorship rules.
- Data Quality Governance & Monitoring
- Quality Framework: Establish data quality assessment models to monitor Completeness, Accuracy, Uniqueness, Timeliness, and Consistency.
- Project Delivery & Documentation
- Technical Documentation: Produce high-quality product requirement documents, data dictionaries, API specifications, and user manuals.
- Implementation Support: Collaborate with engineering teams to oversee development and guide the cleansing, merging, and initialization of legacy data.
Requirements
- Educational Background: Bachelor's degree or above, with priority given to majors such as Computer Science, Data Science, Statistics, Information Management, and Life Sciences.
- Work Experience: At least 3 years of relevant work experience as a Data Product Manager; experience in master data management, data modeling, or data quality management projects is preferred;
- Possess solid knowledge and skills in data modeling, be familiar with common data model design methods, and be able to independently complete the design of master data models;
- Proficiency in SQL; familiarity with relational and non-relational databases; experience with data modeling tools;
- Have a deep understanding of the data full-lifecycle management process, and master the management methods and tools for key links such as data collection, standardization, and quality inspection;
- Communication & Collaboration: Possess excellent cross-team and cross-regional communication skills and collaboration awareness, as well as good Chinese and English communication skills.
- Comprehensive Qualities: Clear logical thinking, strong problem-solving ability, sensitivity to data, and attention to details; possess a strong sense of responsibility and pressure resistance, able to adapt to a fast-paced work environment, and proactively promote product optimization and iteration.
Nice to Have
- Possess certain coding skills, and be proficient in using Python for data processing.
- Familiar with or have an understanding of the marketing models of pharmaceutical enterprises, and able to understand data requirements by combining industry characteristics
Perks & Benefits
- Grants for fitness and communication
- Healthy, free, provided snacks
