Data Product Manager

1 day ago

Mandaluyong City, National Capital Region, Philippines Maya Full time ₱1,200,000 - ₱3,600,000 per year

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 WORK

  • Data 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.

REQUIRED QUALIFICATIONS

  • Critical thinking and problem-solving skills with attention to detail.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience in data analysis, preferably within a product or technology-focused organization.
  • Minimum of 5 years in product management or a related role, with a focus on platform or API development.
  • Understanding of statistical methods and concepts to interpret data accurately
  • Proficiency 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., or Optimizely).
  • Knowledge of machine learning techniques and their applications in product analytics.
  • Passionate with AI and its usage across changing customers lifestyle
  • Strong understanding of API architecture, integration, and data exchange protocols. Proficiency in software development life cycle (SDLC) and Agile methodologies.
  • Demonstrated ability to analyze data, derive actionable insights, and drive data-informed decisions.
  • Proven experience managing complex projects, with a track record of delivering on time and within scope.
  • Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

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