楽天グループ株式会社：1026458　Data Annotation and Labeling Operation Lead, Catalog Management Section – Data Knowledge Department (DKD)

会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1026458　Data Annotation and Labeling Operation Lead, Catalog Management Section - Data Knowledge Department (DKD)

仕事内容

We enable Rakutenians to reliably leverage high-quality, annotated datasets, streamlining every phase of AI and machine learning development. By ensuring data as the fuel of the company's growth, we drive innovation, enhance operational efficiency, and contribute to the development of AI-driven solutions that elevate customer experiences and optimize business operations across Rakuten.

Through our efforts, we aim to solidify Rakuten’s leadership in AI innovation, enabling continued growth and success in a rapidly evolving technological landscape.

　
Position Details
As a Lead of Data Annotation and Labeling team, you will help to grow the team and deliver outcome to our clients’ business. The main responsibility of this position is to lead our Annotation initiatives and execute them with collaborating with cross-functional teams, and ensure that our Annotation service accelerate Rakuten’s AI initiatives. You will be instrumental in addressing complex challenges, driving continuous improvements, and shaping the long-term success of our product.
This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, efficient operations that fuel cutting-edge AI development, and an individual with a strong product management, technological background and operation management, coupled with a passion for solving complex data challenges. You will drive the vision and strategy for managing and enriching our Annotation Service. You will work closely with cross-functional teams, including engineering and regional stakeholders, to ensure that the our labelled dataset is of the highest quality, aligns with business goals, and supports the company’s growth.

Key Responsibilities
- Collaborate with internal and external stakeholders, including engineering teams, to define and drive the product vision, ensuring alignment with broader organizational goals and business objectives.
- Work closely with teams across Japan, China, and India to coordinate efforts, define joint goals, and develop execution plans for Annotation Service
- Proactively identify and solve business issues related to data, ensuring that our outcome is continuously improved and aligned with strategic objectives.
- Establish and enforce best practices and standards for annotation processes, ensuring accuracy, reliability, and comprehensive coverage.
- Develop and manage key performance indicators (KPIs), tracking performance and visualizing results to inform decision-making and continuous improvement.
- Oversee human resources and guide teams, ensuring effective management and alignment with product goals.
- Lead and manage projects focused on impacting on all AI initiatives, driving outcomes that directly contribute to business goals.
- Coordinate cross-functional initiatives with both technical and non-technical teams, ensuring smooth execution of projects and product improvements.

求める経験・スキル

Mandatory Qualifications:
- 5+ years of experience in product/program management, product strategy, or business development.
- Proven track record in strategy planning and requirement definition for IT services.
- Experience in owning and driving product roadmaps, translating business needs into executable plans, and ensuring end-to-end product delivery.
- Strong ability to understand complex systems and clearly communicate with diverse stakeholders.
- Solid project management skills, with experience leading cross-functional teams and managing key performance indicators (KPIs) for business, customer, and operational processes.
- Proven leadership in mentoring teams, guiding decision-making, and fostering collaboration.
- Strategic mindset with the ability to align team goals with broader organizational objectives.
- Excellent interpersonal and communication skills in both Japanese and English.
- Ability to navigate ambiguity, balance product delivery with trade-offs, and create clear documentation.
　
Desired Qualifications:
- Strong understanding of data management principles, including data modeling and data quality.
- Proven ability to translate business needs into actionable data strategies and requirements.
- Proficiency in SQL, Python, or R for data analysis and programming.
- Solid understanding of machine learning and deep learning concepts, with hands-on business application.
- Familiarity with AI technologies, including Large Language Models (LLMs), to optimize operations.
- Proven experience in managing multiple teams or coordinating with external clients/partners for strategic alignment.