Job Description:

Department Overview

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. As our data products continue to expand, we are looking for a professional who can bridge technology and business and lead product growth.

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.

Position:

Position Details

・ 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

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.

Working with engineers, data scientists, and analysts, you will drive initiatives from PoC to production, adoption, and KPI improvement. This is a management-track role with future team management responsibilities.

・ 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

・ Driving initiatives from PoC to production, adoption, and KPI improvement

・ 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

・ 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

Mandatory Qualifications:

・ 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

Desired Qualifications:

・ Management experience of five or more team members

・ Experience in stakeholder management or team management in a global or multinational team

・ Track record of contributing to business KPIs, such as improving CVR or shortening development lead time, through data platform improvements

・ Experience taking initiatives beyond PoC through production implementation, operational adoption, and KPI improvement

・ Experience managing data product reliability (SLA/SLO), cost optimization, and UX improvement

・ Understanding of the overall modern data stack and ability to explain the roles, selection rationale, and trade-offs of key technologies such as BigQuery/Databricks, dbt, Airflow, Iceberg/Delta, etc.

・ Experience managing or planning departmental budgets

・ Degree in computer science or a related field, or equivalent knowledge

#engineer #productmanager #AI #aianddatadiv

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