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.
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
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.
