Senior Data Product Solution Architect

Responsibilities

1. Understand the industry trends such as big data, data products, data middle platform data applications, etc., and formulate data product to B solutions according to the strategic, business, product and technical needs of industry customers and the company's internal product layout 2. In-depth analysis of customer needs, write various project documents and plans in the pre-sales stage, and work closely with BD and business development departments to jointly promote the product and solution expansion/sales process, including solution communication, demand analysis, solution design, business contract signing, etc. 3. Use various data products to design solutions for customers to implement their needs based on the characteristics of industry customers, incubate innovative industry solutions through technologies such as big data, data analysis and application 4. Be familiar with the business growth framework and analysis ideas of the pan-Internet industry, combine customer interview information and data performance, and produce data insights that can guide business optimization.

Qualifications

1. Bachelor degree or above, computer-related majors are preferred 2. More than 3 years of enterprise-level to B solution planning/pre-sales work experience, with successful cases and industry customer resources preferred, and project delivery experience is best 4. At least familiar with one industry experience background such as games, e-commerce, real estate, travel and transportation, culture and tourism, biomedicine, industrial enterprises, logistics, etc. 5. Have relevant experience in big data and data middle platform, familiar with the big data ecological environment, master big data technology stacks such as Hadoop, Hive, Kafka, Spark, Flink, data collection, data governance, data assets and other product functions 6. Familiar with Internet user analysis, enterprise business data analysis, user portraits, CDP, data mining BI and other fields and other data product experience is preferred 7. Have excellent document/PPT writing ability, logical thinking ability, abstract summary ability and expression ability, love the big data industry, good at indicator system construction, business scenario analysis idea construction, have strong learning ability and self-driven consciousness, and can independently explore and collaboratively solve problems 8. Learn quickly and have the ability to solve ecological joint solutions.