As Snapp-box is getting better and bigger, the need of proper data through the whole company is getting more and more essential. Therefore, we need a Senior Data Product Manager that can handle the flow of the data within the company perfectly. For this role the key responsibilities and qualifications would be
KEY RESPONSIBILITIES
Design and drive our strategy for data capture across our products, experiences and content catalog
Connect technology, product and analytics by being the expert on data instrumentation by using proper data models and BI infrastructure
Understand the use cases of business & technical teams that consume this data, advising upcoming launches to ensure Measurability and data coverage
Understand the needs of senior management and operational teams to help them monitor, control and decide
Capture essential data from different endpoints of the system to make sure there will be no consequences in future for lacking the data
Articulate and own capture requirements for all technical teams to adhere to, designing a Customer-Centric, Scalable and enforceable schema
Envision opportunities for continuous improvement in data capture, prioritize them and lead them into reality by collaborating with a variety of domain leaders
Contribute to the data infrastructure strategy at Audible by building a long-term data capture Roadmap
Advise data technology leadership on emerging data capture technologies, including and beyond Amazon Big Data Technology
Educate and evangelize best practice in data capture to tech and product teams
QUALIFICATIONS
Experience with web & app analytics
A firm belief that high-value data begins at the source, attention to detail and high standards
A highly analytical mind who’s at ease in both business and technical arenas
Initiative personality
Experience with the big teams
Decent communication skills
Experience with data platforms, and visualization platforms e.g. Power BI, Tableau, Elkview
Experience implementing data capture and data quality assurance technologies
Familiarity with data engineering, database management