Data Product Manager

Maya is looking for detail-oriented and data-driven Data Product Manager to join our dynamic team and be part of a growing Fintech in the Philippines. The ideal candidate will bridge the gap between business, product, and data science teams, ensuring the development of data-driven solutions that meet business objectives. As a Data Product Manager, you will analyze data, define product metrics and analytics, and support decision-making by delivering actionable insights to drive product growth and optimization.

NATURE OF WOR

• KData Product Manager role involves analyzing large datasets to uncover trends, define product analytics frameworks (including funnel analytics), and provide actionable insights that drive product optimization and strategy
• .Collaborating with cross-functional teams, the analyst bridges data science, product management, and business needs to define key metrics, AI strategies for each product, and data requirements
• .The role includes designing A/B tests, maintaining dashboards, and leveraging AI and machine learning techniques to enhance decision-making and product performance
• .Focused on improving user experience and retention, the analyst also ensures data quality, solves complex business problems, and supports leadership with data-driven recommendations in a dynamic, collaborative, and fast-paced environment
• .Defining and building data products within the Enterprise Product portfolios by wgclosely with all stakeholders within the company

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REQUIRED QUALIFICATIO

• NSCritical thinking and problem-solving skills with attention to detai
• l.Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related fiel
• d.Proven experience in data analysis, preferably within a product or technology-focused organizatio
• n.Minimum of 5 years in product management or a related role, with a focus on platform or API developmen
• t.Understanding of statistical methods and concepts to interpret data accurate
• lyProficiency in SQL, data analysis tools (e.g., Tableau, Power BI), programming languages like Python or R and analytics platforms (e.g., Google Analytics
• ).Experience with A/B testing frameworks and tools (e.g., Split.io or Optimizely
• ).Knowledge of machine learning techniques and their applications in product analytic
• s.Passionate with AI and its usage across changing customers lifesty
• leStrong understanding of API architecture, integration, and data exchange protocols. Proficiency in software development life cycle (SDLC) and Agile methodologie
• s.Demonstrated ability to analyze data, derive actionable insights, and drive data-informed decision
• s.Proven experience managing complex projects, with a track record of delivering on time and within scop
• e.Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholder