Data Analytics Manager

The Data Analytics Manager will lead the organization’s data strategy and data analytics operations for PalawanPay. The role exists to unlock the value of data by building customer-centric models, creating insights to support business decisions, and enabling performance tracking across business units. The position leads cross-functional analytics teams spanning Customer Analytics, Business Intelligence, and Data Pipelining, ensuring data integrity, performance, and alignment to revenue and operational goals. This role ensures that data assets are strategically leveraged to drive business growth, enhance customer experience, and support regulatory compliance. It partners with product, operations, marketing, and compliance teams to develop data-driven solutions while maintaining and optimizing the organization’s data infrastructure and governance framework.MINIMUM REQUIREMENTS Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fieldMaster’s degree or MBA is a plusRelated Work Experience:At least 10 years of progressive experience in data analytics, data science, or business intelligenceMinimum of 5 years in a leadership or head role within financial technology, payments, or banking sectorsExperience in leading teams handling customer profiling, performance analytics, and data engineeringKnowledge (knowledgeable in the following) : Deep knowledge of analytics frameworks, data governance, data engineering, and BI toolsUnderstanding of digital financial services, including e-wallets, payments, and compliance requirements (e.g., KYC, AML)Familiarity with cloud-based data platforms, data lakes, and API integrationsSkills: Strong analytical and strategic thinkingData storytelling and data-driven decision-makingExcellent leadership, stakeholder management, and cross-functional collaboration skillsProficiency in SQL, Python/R, data visualization tools (Power BI, Tableau), and cloud ecosystems (AWS, GCP, Azure)Project management and change leadershipUnderstanding of statistical methods and when to apply them (application of these methods can be left to the sub-sections)Understanding of BI (e.g., PowerBI, Tableau, etc) and statistical tools (e.g., R, SPSS, Stata, etc) - Knowledge of data privacy regulations (nice to have, but not essential)DUTIES AND RESPONSIBILITIES AREAS OF RESPONSIBILITY1. Strategic Leadership Develop and implement a robust data strategy aligned with PalawanPay’s business objectivesChampion data as a strategic asset to drive digital adoption, customer engagement, and operational efficiency2. Customer Profiling Build and operationalize customer-centric data models and APIs to enable revenue-generating opportunities (e.g., credit scoring, targeted marketing, KYC outsourcing)Collaborate with product and marketing teams to develop customer segmentation and personalization strategies3. Business Intelligence Lead the development of dashboards, KPIs, and performance metrics to support product, operations, and leadership decision-makingPartner with business units to drive data literacy and performance insights4. Data Pipelining and Engineering Oversee the design and management of data pipelines and data lakes to ensure seamless data availability and scalabilityEnsure data integrity, compliance, and security through structured governance practices5. Team and Capability Building Build and lead a high-performing analytics team composed of data scientists, analysts, and engineersFoster a culture of innovation, agility, and continuous learning 6. Governance and Risk ManagementEnsure adherence to regulatory and data privacy requirements (e.g., Data Privacy Act, BSP regulations)Lead initiatives on data quality management and data lifecycle governance