A leading global fintech organization is seeking a Senior Manager – Data Science & Strategy Analytics to drive data-driven decision-making across its Japan business. This role sits at the intersection of advanced analytics, commercial strategy, and executive stakeholder engagement, helping unlock insights from large-scale transactional and operational data. You will partner with senior leadership to support revenue growth, market expansion, and strategic planning initiatives in the digital payments ecosystem.

Key Responsibilities

• Lead high-impact data science initiatives supporting business growth and market strategy in Japan.
• Apply advanced statistical modeling and machine learning techniques to large-scale transactional datasets.
• Develop scalable analytical models to optimize revenue, performance, and operational efficiency.
• Translate analytical insights into clear, actionable recommendations for senior stakeholders.
• Support annual strategic planning and long-term growth forecasting processes.
• Identify performance gaps and market opportunities through data analysis and benchmarking.
• Build and maintain executive dashboards to ensure reporting accuracy and data integrity.
• Conduct root-cause analysis to investigate performance issues and data discrepancies.
• Collaborate cross-functionally with product, sales, marketing, consulting, and operations teams.
• Present analytical findings and strategic recommendations to senior leadership.
• Mentor team members and promote best practices in analytics and data science.

Required Skills and Qualifications

Experience:

• 10+ years of experience applying statistical analysis and machine learning techniques to business problems.
• Advanced degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, or Computer Science.
• Hands-on experience working with large-scale datasets and predictive modeling.
• Strong programming expertise in SQL and Python (experience with R, Spark, Hive, TensorFlow, PyTorch, or scikit-learn is beneficial).
• Experience developing scalable predictive models and forecasting frameworks.
• Experience with data visualization tools such as Tableau or Power BI.
• Deep knowledge of statistical modeling techniques including regression, gradient boosting, neural networks, and forecasting methods.
• Strong business acumen with the ability to link analytics insights to revenue and profitability outcomes.
• Experience in fintech, payments, retail banking, or related financial services industries.

Soft Skills:

• Strategic thinker with strong analytical and critical reasoning ability.
• Executive presence and confidence communicating with senior stakeholders.
• Highly collaborative mindset with the ability to work across cross-functional teams.
• Detail-oriented approach with strong analytical rigor.
• Ability to translate complex data models into clear business narratives.
• Strong intellectual curiosity and continuous learning mindset.
• Comfortable operating in dynamic, matrixed environments.

Language Requirements:

• Japanese: Fluent
• English: Fluent

Preferred Skills & Qualifications

• Experience supporting corporate strategy or business planning initiatives.
• Exposure to pricing analytics, revenue optimization, or economic modeling.
• Experience working in high-volume transactional or platform-based business environments.
• Experience in regional or global organizations.
• Experience leading analytics teams or mentoring data scientists.