Our Mission
This reflects the values we have cherished since Money Forward was founded, so please take a look. Click here for Money Forward’s Mission, Vision, and Values.
Background of the Role
The Data Solutions Department aims to maximize business value through data-driven decision-making. As our organization scales and enters a new phase, we are strengthening our management structure to optimize collective output.
Following our "Money Forward AI Vision 2025," leveraging AI to boost productivity has become a core theme across our data infrastructure and operations. We are seeking a Manager Candidate to lead our specialists (Analytics Engineers and Data Scientists) and act as a strategic hub, driving data and AI utilization across the company. You will play a pivotal role in project leadership, cross-functional collaboration, and member growth.
In this role, you will serve as a Manager Candidate, leading a team of specialists and acting as a strategic hub to drive data and AI integration across the company. We are looking for a leader who can serve as the core of our data organization—supporting project execution, strengthening cross-functional collaboration, and fostering member growth.
Main Responsibilities
You will oversee data-driven projects and manage a team of Analytics Engineers and Data Scientists. Key focus areas include:
・Project Leadership & Quality Control
◦Monitor project progress, resolve roadblocks, and optimize resource allocation.
◦Review data pipelines and analytical outputs to ensure high quality and technical integrity.
◦Manage project risks and lead troubleshooting efforts.
・Stakeholder & Strategic Management
◦Partner with business units to align expectations and define AI/data requirements.
◦Develop strategic roadmaps and contribute to data governance and security policies.
・People Management & Team Development
◦Handle goal setting, performance evaluations, and 1-on-1 support for team members.
◦Drive team building and task assignments based on individual strengths.
*Note: Specific scope will be determined based on your experience and career aspirations.
Overview of Initiatives (Examples)
・Strategic Infrastructure Design: Design the ideal analytics infrastructure by aligning stakeholder goals with future AI integration.
・Cross-Functional Analytics: Partner with diverse departments (Business, Engineering, HR, etc.) to drive data visualization and analysis.
・AI-Ready Roadmap: Develop a roadmap for an AI-optimized data environment, including the integration of cutting-edge AI development tools.
Key Opportunities
・Define Strategic Data: Lead data development and operations in a cross-functional organization, defining "high-versatility data" across diverse business domains.
・Lead Top-Tier Specialists: Gain invaluable experience managing Analytics Engineers and Data Scientists to drive significant collective impact.
・Direct Business Impact: Engage in upstream processes—translating data insights into executive decisions and operational growth.
・Shape Organizational Culture: Exercise high autonomy in building our data/AI organization, from goal setting to fostering a thriving team culture.
Expected Role
・Strategic Opportunity Creation: Understand business challenges and "translate" them into impactful AI and data solutions.
・Balancing "Why" and "How": Drive projects to success by aligning technical execution with business objectives.
・People-First Leadership: Enhance team productivity by fostering high engagement through deep, individual support.
Desired Mindset
・Ownership of Improvement: Look beyond the status quo to identify issues and drive proactive, hypothesis-led improvements.
・Purpose-Driven: Prioritize the "Why" and "What" (objectives) over the "How" (means).
・Strategic & Holistic View: Maintain a big-picture perspective and drive projects by working backward from the ideal goal.
Required Skills & Experience
・Project Management: Proven experience in requirement definition, scheduling, and stakeholder coordination.
・Technical Background: 3+ years in data infrastructure, analytics, or machine learning projects.
・People Management: 2+ years of experience managing Analytics Engineers, Data Scientists, or Analysts.
・Stakeholder Management: Strong communication and negotiation skills with non-technical business/executive teams.
Language Requirements
・Japanese: Business level (JLPT N1 or equivalent required).
・English: TOEIC 700+ or equivalent.
Other certifications (e.g., Eiken Pre-1, TOEFL iBT 60+, IELTS 5.0+, FCE) or relevant experience are also welcome.
Candidates without a valid score will be asked to take a company-designated test (typically after the 1st interview).
Preferred Skills and Experience
・Experience in launching data organizations or driving data utilization projects.
・Experience with Agile/Scrum development methodologies.
・Proficiency in Git (GitHub/GitLab) and data modeling tools like dbt or Dataform (professional or personal).
・Experience in DWH/Data Mart development using AWS or GCP.
・Strong interest in Dimensional Modeling and data architecture.
・Experience in data mart development using AI tools (e.g., Cursor, Claude Code).
・Dashboard construction using BI tools like Tableau or Looker.
・Experience in AI development or AI tool utilization.
◦Aligned with "Money Forward AI Vision 2025," we aim to integrate AI Agents into all products to boost productivity.
Who We’re Looking For
・Resonates with Money Forward’s mission and values.
・Eager to explore diverse domains and proactively solve complex problems.
・Able to take a holistic view and balance short-term wins with long-term goals.
・Ready to take leadership in building and refining data analytics infrastructure.
・Hands-on expertise in data modeling, data mart development, and data management systems.
Technology Stack
・Data Warehouse: BigQuery, Databricks
・Data Modeling: dbt, Dataform
・Orchestration: dbt Cloud, trocco, Cloud Composer (Airflow)
・BI & Visualization: Looker, Looker Studio
Tools Used
・Repository Management: GitHub
・CI/CD: GitHub Actions
・Development Environment: VS Code, Cursor, Claude Code
・Infrastructure as Code (IaC): Terraform
・Communication: Slack
・Documentation & Knowledge Base: Notion
Related Resources
Money Forward: Aiming to be the No. 1 Back-office AI Company
Our Progress and Roadmap for Data and AI Utilization
Inside the Data Strategy Unit: Our Head of Analytics on Team Culture and Vision
The Evolution of Our Analytics Infrastructure: From Centralization to Decentralization
Achieving Excellence: Earning the Statistics Expert Certification (Grade 1)
The First Priority for New Data Teams
Hierarchical Data Analysis: Utilizing Map Bridge Tables in Star Schemas
Analytics Engineers for Our Business Units
Transforming Salesforce Data into Actionable Insights via Star Schemas
Seeking Career Growth as an Analytics Engineer at Money Forward
Work Environment
At Money Forward, we provide a world-class environment to co-create global services.
・High-Spec Gear: Latest macOS/Windows PCs with customizable specs and regular hardware refreshes.
・Peripherals: Company-funded monitors, mice, and keyboards. Custom requests outside our standard catalog are welcome.
・MF Library: Free access to technical and business books. New books can be purchased at company expense.
Referral-Driven: Subsidies for networking dinners and a referral bonus program.
・Conference Support: Full or partial subsidies for domestic and international conferences (e.g., RubyKaigi, Google I/O).
| 職種 / 募集ポジション | Data Architect (Manager Candidate) Data Solutions Department_Tokyo |
|---|---|
| 雇用形態 | 正社員 |
| 給与 |
|
| 勤務地 | |
| Salary System | <Salary Range> Min 834,000 JPY / month（10,008,000 JPY / year）〜1,250,000 JPY / month（15,000,000 JPY / year） Each including fixed allowances of 242,807 JPY〜363,912 JPY / month. |
| Bonus | A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary. ※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance. |
| Probation Period | 3 months from join date |
| Working Hour System | Discretionary Labor System for Professional Work ※Conditions apply; subject to change to Flextime System. |
| Working Hours | 9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion. ※There is potential for overtime work outside the determined hours. |
| Work Style Policy | Hybrid work style ・As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances) ・The specific "team office days" may vary depending on the assigned team. |
| Holidays/Vacations | ■ Saturdays / Sundays / Japanese national holidays ■ Paid holidays ■ Summer holidays (3 days) ■ Winter holidays (2 days) ■ Year-end and New Year’s holidays (Dec 31st～Jan 3rd) |
| Benefits | ■ Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance) ■ Neighborhood housing allowance and neighborhood moving allowance ■ Salary-based rent deduction benefit ■ Health check and gynecological checkup ■ Influenza vaccine ■ Book purchases support ■ Defined-contribution corporate pension ■ Employee stock ownership plan ■ Preferential treatment when using the following services（limited to businesses under contract with Money Forward） - Rental agency - Housekeeping services - Babysitting - Online English conversation school |
| Selection Process１ | Casual interview/Document Screening ↓ First interview (Depending on the position, there may be a technical assignment before the interview) ↓ Several interviews (The number of interviews depends on the position) ↓ Final interview (We may ask for a reference check before or after the interview) ↓ Job offer/Offer meeting ※The process may be subject to change depending on the case. |
| Selection Process２ | ■ What are reference checks? Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company. ※We do not make employment decisions based solely on the contents of reference checks. ※The fact that you are in the selection process with us will not be disclosed to referees. |
| Notes | ・Range of change in job description: Work as determined by the company ・Range of change in work location: Work location as determined by the company |
| Reference Information | https://recruit.moneyforward.com/#introduction |
| 会社名 | 株式会社マネーフォワード |
|---|---|
| 代表者 | 代表取締役社長グループCEO 辻 庸介 |
| 創業 | 2012年5月 |
| 取締役 | 金坂 直哉 中出 匠哉 竹田 正信 石原 千亜希 |
| 社外取締役 | 田中 正明 倉林 陽 安武 弘晃 宮澤 弦 Ryu Kawano Suliawan 菊間 千乃 |
| 監査役 | 畠山 優実 田中 克幸 瓜生 英敏 |
| グループCxO・VPox | 瀧 俊雄 山田 一也 坂 裕和 松岡 俊 伊藤 セルジオ 大輔 関田 雅和 松久 正幸 野村 一仁 長尾 祐美子 渋谷 亮 金井 恵子 上利 陽太郎 梅田 康吉 |
| 執行役員 | 田平 公伸 本川 大輔 冨山 直道 木村 友彦 永井 博 駒口 哲也 廣原 亜樹 島村 誠一郎 永井 七奈 木村 慎治 丸山 嘉伸 吉本 憲文 工藤 裕之 島内 広史 小山 幸宏 渡辺 恵伍 松村 道夫 岩崎 大 |
| オフィス | 本社オフィス 〒108-0023 東京都港区芝浦3-1-21 msb Tamachi 田町ステーションタワーS 21F 北海道支社 〒060-0061 北海道札幌市中央区南一条西4-5-1 札幌大手町ビル3階 東北支社 〒980-0021 宮城県仙台市青葉区中央2-2-10 仙都会館 5F 東海支社、名古屋開発拠点 〒450-6213 愛知県名古屋市中村区名駅4-7-1 ミッドランドスクエア 13F 京都支社、京都開発拠点 〒604-8004 京都府京都市中京区三条通河原町東入中島町78番地 明治屋京都ビル 4階 関西支社、大阪開発拠点 〒541-0042 大阪府大阪市中央区今橋 2-5-8 トレードピア淀屋橋 9階 広島支社 〒730-0015 広島市中区橋本町9-7 ビル博丈5F 九州・沖縄支社、福岡開発拠点 〒810-0041 福岡県福岡市中央区大名2丁目6-50 福岡大名ガーデンシティ 16F |
| 社内コミュニケーション活性化の取り組み | ■全社週次/月次朝会/半期総会 ■代表との意見交換会（CEOセッション） ■全社懇親会（MF Happy Hour） ■他部門社員との交流会（シャッフルランチ・ディナー） ■上長との定期1on1（ツキイチ面談） ■社内公募制度（MFチャレンジシステム） ■社員満足度調査（MFグループサーベイ） ※一部正社員のみ |
| 労働条件 | 屋内原則禁煙（喫煙室あり）等 |
| 中途採用比率 | 2021年11月末 93.8％ 2022年11月末 90.0% 2023年11月末 76.6％ 2024年11月末 88.7% |