Data Analytics Product Manager, Converse Technology
Nike, Inc.
Shanghai, Shanghai, China Mainland, VT, 05401
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Description
Converse serves the daring spirit of youth. We embrace that as an organization in everything we do. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. We’re looking for people who can grow, think, dream, and create. We thrive in a culture that embraces diversity and rewards imagination. We seek achievers, leaders, and visionaries.
Data Analytics is one the key strategy to both business and technology, which will enable our organizational digital transformation and the data as competitive advantage. We are looking for a data Analytics product manager to define the design, capabilities, and implementation of an evolving data and analytics platform, for Converse Asia. You will work cross functionally with consumer knowledge, business intelligence, data science, engineering, and architecture teams to gather and thoughtfully document feature requirements then drive them through the product development lifecycle.
The role must have experience successfully developing enterprise-scale data products and a deep understanding of how progressive reporting and analytics systems are designed, built, and operated. Candidates should have prior data architecture, design, and modeling experience and a deep familiarity with foundational data science. Success in this role will require an ability to understand both stakeholder and partner requirements to define the short and long-term strategy for delivery, document technical product specifications in appropriate detail, and work across engineering and architecture to guide development.
The ideal candidate must be able to comfortably maneuver from deep business domain & analysis work to defining technical requirements and potentially prototyping solutions. A leader who has previously contributed to a data platform, data warehouse, or data product technical programs, can influence via great technical requirements and engineering partnerships, and is excited to work in a dynamic data environment with a strong set of teammates will be a great fit for this role.
Key Responsibilities
- Write, drive, and prioritize thoughtful and detailed functional specifications for data ingestion, data cleansing, data quality, analytic processing, BI, and data science use cases then drive them via an Agile development methodology
- Become a subject matter expert across the entire Converse data & analytics landscape, enabling the Converse organization for data-driven decision making.
- Use your distributed computing, database, analytics background to contribute to the ongoing short and long term vision for the platform
- Work with business teams, data scientists and data analysts on optimal data structures for efficiency of analysis
- Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions
Converse serves the daring spirit of youth. We embrace that as an organization in everything we do. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. We’re looking for people who can grow, think, dream, and create. We thrive in a culture that embraces diversity and rewards imagination. We seek achievers, leaders, and visionaries.
Data Analytics is one the key strategy to both business and technology, which will enable our organizational digital transformation and the data as competitive advantage. We are looking for a data Analytics product manager to define the design, capabilities, and implementation of an evolving data and analytics platform, for Converse Asia. You will work cross functionally with consumer knowledge, business intelligence, data science, engineering, and architecture teams to gather and thoughtfully document feature requirements then drive them through the product development lifecycle.
The role must have experience successfully developing enterprise-scale data products and a deep understanding of how progressive reporting and analytics systems are designed, built, and operated. Candidates should have prior data architecture, design, and modeling experience and a deep familiarity with foundational data science. Success in this role will require an ability to understand both stakeholder and partner requirements to define the short and long-term strategy for delivery, document technical product specifications in appropriate detail, and work across engineering and architecture to guide development.
The ideal candidate must be able to comfortably maneuver from deep business domain & analysis work to defining technical requirements and potentially prototyping solutions. A leader who has previously contributed to a data platform, data warehouse, or data product technical programs, can influence via great technical requirements and engineering partnerships, and is excited to work in a dynamic data environment with a strong set of teammates will be a great fit for this role.
Key Responsibilities
- Write, drive, and prioritize thoughtful and detailed functional specifications for data ingestion, data cleansing, data quality, analytic processing, BI, and data science use cases then drive them via an Agile development methodology
- Become a subject matter expert across the entire Converse data & analytics landscape, enabling the Converse organization for data-driven decision making.
- Use your distributed computing, database, analytics background to contribute to the ongoing short and long term vision for the platform
- Work with business teams, data scientists and data analysts on optimal data structures for efficiency of analysis
- Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions