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About the Role
This position is responsible for transforming Rakuten Group’s vast data assets into practical products that drive business outcomes. As a bridge between data engineering and business, this role will accelerate data utilization across the entire company. You will lead the evolution of data platforms within a specialized data product organization, taking end-to-end ownership from technical execution to business KPI impact and data democratization. This is a management-track role with future team management responsibilities.
Responsibilities
- Leverage Rakuten Group’s vast data assets across more than 70 services to create business value through AI×Data
- Work closely with senior management and contribute to decision-making across various businesses
- Gain experience that combines technical expertise with data governance through the development and standardization of company-wide data products
- Gain practical exposure to data control across multiple industries, including e-commerce, FinTech, and mobile, as well as domain-specific governance and regulations
- Develop your expertise in the AI×Data field in a global and fast-paced environment
- Drive initiatives from PoC to production, adoption, and KPI improvement
- Defining product roadmaps, prioritizing initiatives, and driving the growth of data products
- Contributing to business KPIs through data platform enhancements, such as improving CVR and shortening development lead time
- Promoting data governance, data democratization, and a data-driven culture
- Leading cross-business transformation projects
- Building consensus with stakeholders across different priorities and perspectives
- Negotiating and building consensus among stakeholders with different positions and priorities
Requirements
- Able to translate ambiguous business challenges into technical roadmaps and concrete implementation plans
- Able to connect AI/Data initiatives to tangible business outcomes, rather than treating AI/Data utilization as an end in itself
- Able to translate technical complexity into business impact, facilitate challenging discussions, and maximize outcomes
- Able to organize issues and drive progress by involving stakeholders, even in uncertain situations
- Able to make appropriate design decisions by balancing technical debt and business speed according to the project phase
- Has a Get Things Done mindset and can move initiatives forward even when conditions are not perfect
- Practical experience in product management or data engineering in the AI/Data domain
- Experience working in an organization related to AI/Data products, data platforms, or DX initiatives
- Experience contributing to the growth of products or organizations over the medium to long term
- Experience defining product roadmaps, prioritizing initiatives, or driving product growth for data products
- Experience connecting executives, business owners, frontline managers, and engineers
- Proven ability to organize and integrate diverse opinions and expectations, lead consensus-building among stakeholders, and guide teams toward optimal solutions
Skills
- AI
- Data Engineering
- Product Management
- Data Governance
- Data Democratization
- Data×AI×Engineering
- BigQuery
- Databricks
- dbt
- Airflow
- Iceberg/Delta
Location
- Remote
- Hybrid
Work Type
- Full-time
Experience Level
- Management Track
- 5+ years of management experience (desired)
Education Level
- Degree in computer science or a related field, or equivalent knowledge (desired)
About the Company
- The Analytics Data Engineering Department (ADED) is a team that drives Rakuten’s vision of becoming a data-driven membership company.
- The team is responsible for the end-to-end development and operation of data analytics platforms, as well as the implementation of AI and machine learning products.
- By integrating Rakuten Group’s vast data assets and collaborating closely with stakeholders, ADED works at the forefront of Data×AI×Engineering, directly contributing to the user experience of tens of millions of customers and business revenue.
- Rakuten Group has vast data assets across more than 70 services.
- The company operates in multiple industries, including e-commerce, FinTech, and mobile.