Data Architect (Manager Candidate) Data Solutions Department, Tokyo

**About the company:** Money Forward Minato-ku, Tokyo Money Forward is a fintech startup delivering tools to visualize and improve both individuals'​ and companies'​ financial health. **Responsibilities:** 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. 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. Requirements Technical Background: 3+ years in data infrastructure, analytics, or machine learning projects. Project Management: Proven experience in requirement definition, scheduling, and stakeholder coordination. Stakeholder Management: Strong communication and negotiation skills with non-technical business/executive teams. People Management: 2+ years of experience managing Analytics Engineers, Data Scientists, or Analysts. Japanese: Business level (JLPT N1 or equivalent required). English: TOEIC 700+ or equivalent. Nice to haves While not specifically required, tell us if you have any of the following. 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. Compensation ¥10,008,000 ~ ¥15,000,000 annually. **Requirements:** Technical Background: 3+ years in data infrastructure, analytics, or machine learning projects. Project Management: Proven experience in requirement definition, scheduling, and stakeholder coordination. Stakeholder Management: Strong communication and negotiation skills with non-technical business/executive teams. People Management: 2+ years of experience managing Analytics Engineers, Data Scientists, or Analysts. Japanese: Business level (JLPT N1 or equivalent required). English: TOEIC 700+ or equivalent. **Nice to have:** While not specifically required, tell us if you have any of the following. 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. **Compensation:** ¥10,008,000 ~ ¥15,000,000 annually.