Key Responsibilities:
Project lifecycle management:
Lead the entire process of data collection projects, including requirements & cost assessment, solution design, implementation to acceptance and delivery, and develop clear project plans.
Ensure that projects are completed on time, with quality, and within budget.
Requirements Interaction and Solution Design:
Deeply understand customer needs, break down data collection objectives.
Design suitable collection solutions (such as resource types, hardware and software collaboration, on- site processes, etc.), and output solution documents (including technology selection, architecture diagrams, feasibility analysis, etc.).
Team Management and Collaboration:
Coordinate cross- departmental resources (such as the technical department, legal department, and business department)
Lead the data acquisition team in carrying out daily work
Solve collaboration problems in project progress.
Clarify the responsibilities and goals of members, organize technical training (such as the use of data collection tools)
Risk and Quality Control:
Identify project risks (such as data quality issues, resource execution issues, and data compliance issues) and develop contingency plans in advance.
Establish a data collection quality verification mechanism (such as data integrity, accuracy, and timeliness checks), regular output quality reports
Optimize the collection process.
Compliance and Security Assurance:
Work with the legal department to ensure that the data collection process complies with national laws and regulations (such as the Data Security Law and the Personal Information Protection Law) and industry standards, and avoid risks such as data leakage and illegal collection
Take the lead in signing compliance agreements with data source providers to clarify the scope of data use and responsibilities.
Project Review and Optimization:
Promote the optimization of data collection tools and automated processes to improve teamwork efficiency and project delivery capabilities.
After project delivery, organize a review to summarize lessons learned (such as process bottlenecks and technical obstacles), and output a review report
