Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming apublic benefit corporation(PBC), legally bound to balancing the interests of customers, employees, society, and investors.
Join us intransforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
This position serves as the core hub connecting clients' business needs, the company's product strategy, and the realization of data value. It is not only the "designer" of master data products but also the "guardian" of data full-lifecycle quality. With a focus on the business scenarios in Hong Kong and Macau, this role needs to transform in-depth insights into clients' actual needs into scientific master data models and implementable full-lifecycle management solutions. Meanwhile, it shall maintain close collaboration with the APAC team to drive the continuous optimization of data products for Hong Kong and Macau.
The Data product manager is part of the Veeva OpenData Product team. This role provides data-backed support to both internal and external customers while coordinating with cross-functional teams to ensure the delivery of related features and to keep product excellence.
What You'll Do Master Data Model Design and Definition: Conduct in-depth research on clients' actual business scenarios, align with the company's product strategic planning, lead the design and definition of master data models that meet business needs, and ensure the rationality, scalability, and practicality of the data modelsData Source Management and Monitoring: For known data sources, clarify the frequency, specific methods of data collection, and abnormal monitoring mechanisms to ensure the timeliness and stability of data acquisition; conduct regular research and analysis on new data sources, evaluate their value and feasibility, and provide decision support for data source expansionCross-Regional Collaboration and Product Optimization: Maintain regular communication with the APAC (Asia-Pacific) team, proactively understand the design ideas, functional highlights, and operation experience of data products in other regions, combine the business characteristics of Hong Kong and Macau, draw on their strengths to make up for weaknesses, and continuously iterate and update data products for Hong Kong and MacauFormulation of Data Standardization and Verification Processes: Develop differentiated data standardization methods based on the characteristics and attributes of different data sources to ensure the uniformity of data format and content; design scientific manual verification processes, clarify verification standards and nodes, and improve data accuracyData Quality Management Throughout the Full Lifecycle: Establish a comprehensive quality management mechanism covering data collection, verification stages, and periodic quality inspection of the master database, monitor data quality in real time, promptly identify quality issues such as data missing and errors, formulate and implement repair plans, and summarize experience and lessons to form preventive measures, so as to ensure that data quality consistently meets standards Requirements Educational Background: Bachelor's degree or above, with priority given to majors such as Computer Science, Data Science, Statistics, Information Management, and Life SciencesWork 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; familiarity with the business characteristics of Hong Kong and Macau, or experience in collaborating with global teams is a plusPossess 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 modelsHave 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 inspectionHave knowledge of data crawler technology and master common crawler methods currently available, such as Selenium and Crawl4aiPossess good ability to analyze and evaluate data sources, and be able to accurately identify the value and risks of data sourcesProficiency in using data quality management tools (e.g., DQM) or methods, with experience in troubleshooting and resolving data quality issuesCommunication & Collaboration: Possess excellent cross-team and cross-regional communication skills and collaboration awareness, as well as good Chinese and English communication skillsComprehensive 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 or SQL for data queryingFamiliar with or have an understanding of the marketing models of pharmaceutical enterprises, and able to understand data requirements by combining industry characteristicsPossess Cantonese communication skills, and able to efficiently interface with clients or business teams in Hong Kong and Macau Perks & Benefits Grants for fitness, communication and heatingHealthy, free, provided snacks Additional Information #LI-Associate
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
