- 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.
- 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.
- 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
- Grants for fitness, communication and heating
- Healthy, free, provided snacks
A different kind of company. A Public Benefit Corporation.
Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation’s conduct—including customers, employees, and the community—in addition to shareholders’ interests.
What sets us apart
In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC).
Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation’s conduct—including customers, employees, and the community—in addition to shareholders’ interests.
Veeva’s public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities.
At Veeva, we believe in giving back. Veeva’s support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don’t dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment.
Veeva’s core values — do the right thing, customer success, employee success, and speed — guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others.
Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company’s growth.
Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee’s fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them.
News and recognition
Grow, contribute and be recognized
“Veeva’s engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work.”
—Jacob Marcus
VP, Engineering
“I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster.”
—Shilpa Chandermohan
Software Engineer
“As a software engineer at Veeva, I’m proud to be doing meaningful work building clinical trial software that will benefit so many people.”
—Durward Denham
Software Engineer