Data and AI Success Management Head for GXI Commercial
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At a glance
Job overview
GCash seeks a Data and AI Success Management Head to drive innovative financial solutions in the Philippines. The role requires strong stakeholder influence, business acumen, and deep understanding of operational metrics, while leading analytics initiatives from ideation to production. Candidates must be technically fluent in SQL and possess a strategic, entrepreneurial mindset to navigate technical and organizational challenges.
Skills & qualifications
Skills
Full job description
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!
We are looking for:
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Highly skilled in influencing and engaging stakeholders to secure their buy-in and support.
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Strong business acumen, to effectively identify the value of Data and AI in the business context.
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Must understand the key operational metrics of their assigned business unit, and their impact on profit and loss,revenue, customer retention, and so on.
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General technical fluency – understanding in quantitative analytics and structured problem solving.
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May have a formal STEM (science, technology, engineering, and mathematics) background or self-taught knowledge in a STEM field.
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A mastery of process-management skills -- should be able to direct an analytics initiative from ideation through production and adoption and understand the life cycle of an analytics initiative and the common pitfalls.
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Entrepreneurial mind-set -- enthusiasm, commitment, and business savvy to navigate potential technical, and organizational roadblocks that may emerge.
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SQL skill is a must. Python would be a bonus.
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General Knowledge on the following
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General Relational Database Concepts
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General Data Visualization, Data Storytelling, and tool know-how (Tableau, PowerBI, Qlickview, AWS Quicksight, etc.)
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General Statistical Modeling Techniques (i.e. Regression, K-means segmentation, forecasting, etc.)
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General know how on data management programming languages (SQL, R, Python, etc)
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General Datawarehousing and Data Modeling concepts (Fact & Dimension tables, Slowly Changing Dimensions (SCD), etc.)
What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
You've read the whole posting — now see how you match it.