楽天グループ株式会社：1023667　Technical Product Manager, 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

1023667　Technical Product Manager, Catalog Management Section - Data Knowledge Department (DKD)

仕事内容

Department Overview 
The importance of catalog data as a master data is increasing as it serves as a hub and data platform that connects products and corporate data handled within Rakuten services. By managing abundant and accurate catalog data and deploying it as master data across Rakuten services, it plays the role of core data that accelerates new service development.  
 
Data Knowledge Department (DKD) is committed to building data creation processes, collecting and expanding catalog data, and improving quality in order to continue providing services that meet and exceed the expectations of Rakuten's customers.  
   
Under the mission of creating the best catalog data and improving user experience, we provide the power of Rakuten's design, technology, and operations to provide high-quality catalog data that is at the core of our business strategy. This contributes to Rakuten's vision of "Empowering people and society through innovation."   

 
The successful candidate will be responsible for the vision and roadmap of our Catalog platforms and associated data operations, helping to ensure the success of our data customers by driving our platform efforts. These systems support our customers' daily service experience. 

Position Details 
- Drive a product roadmap and deliver projects to achieve short-term and long-term vision of the product. 
- Provide the right metrics to measure risk and providing meaningful feedback to our data and our technology. 
- Develop vision and goals for the new launch programs and guide own and related teams toward a common mission. 
- Break away from traditional legacy systems to develop innovative, scalable solutions that push the boundaries of technology to sustain our systems by analyzing and reviewing risk and issue related data with development of corresponding detection and enforcement treatments. 
- Lead operations with data teams in their ability to develop and execute daily, weekly, and monthly action plan that increase quality and user experience. 
- Owns the mechanism to effectively manage requirements and prioritization for all requests received by internal and external stakeholders, including new requirements and how they fit in for overall strategy, or defects triage and how they impact customer experience and business. 
- Maintain a dynamic approach to changing product scopes and requirements, exemplifying agility and responsiveness in all project management aspects. 
- Establish a strong relationship with both business and tech leaders to develop and lead the continuous improvement strategy across multiple products, design, engineering, quality, and customer-support teams. 

求める経験・スキル

Mandatory Qualifications: 
- Fluent in both Japanese and English, with exceptional communication skills across diverse, multinational environment. 
- Minimum 5 years of experience in technical product management, program management or engineering with a proven track record of execution, both as an individual contributor and on the teams as a  lead.
- Experience owning or driving roadmap, strategy and definition.
- Experience of E2E product delivery 
Strong leadership capabilities, able to inspire and manage teams in a fast-paced and ever-evolving environment. 
- Experience contributing to engineering discussions around technology decisions and strategy related to a product.
- Strong decision making and prioritization skills, guided by data, especially when multiple trade-offs are involved and fast-paced decisions are required 
Passionate about data quality and delivering effective data to impact the business. 
- Empathy and good listening skills to understand the needs/ pain points of your customers/ stakeholders.
- Excellent communicator with ability to manage complex stakeholder dynamics, driving  consensus and successful outcomes for cross-functional product initiatives. Foster an inclusive and high-performing team environment through effective mentorship. 

Desired Qualifications: 
- Machine learning, artificial intelligence, feature engineering, model lifecycle management and deployment.
- Data assets, data governance, storage, and sharing.
- Experience managing technical products or data services.
- Experience in building and driving adoption of new products.
- Strong adaptability and commitment to continuous learning, keeping up with the latest advancements in technology.
- Experience in using analytical tech stack, such as SQL, Python.