Digital AI Application & Data Innovation

Globe Group

Philippines

On-site

PHP 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

Globe is seeking a data leader to co-manage the experimentation engine powering GlobeOne and GOMO growth loops. You will transform engagement data into decision-ready insights, behavioral diagnostics, and AI-assisted lifecycle strategies, collaborating with Growth Managers and Behavioral Scientists.

You will embed predictive triggers into lifecycle journeys, design and evaluate experiments, and help define the next best move through model-based thinking and system-scale design.

Qualifications

  • Proven ability to model growth and retention using digital data.
  • Experience translating insights into lifecycle strategies and experiments.
  • Strong collaboration with product, marketing, and experience teams.

Responsibilities

  • Lead growth and behavior modeling across GlobeOne and GOMO.
  • Design and evaluate A/B tests to uncover root causes of retention and engagement.
  • Develop segmentation and lifecycle triggers based on data-driven insights.
  • Turn insights into strategic recommendations for product and brand teams.

Skills

Growth modeling
A/B testing
Behavioral analytics
Cross-functional collaboration

Education

Bachelor's in a quantitative field

Tools

Snowflake
Braze
OfferFit

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Role Overview

We’re looking for a data leader who thrives at the intersection of product, marketing, and behavioral analytics. As our Digital AI Application & Data Innovation Lead, you will co-lead the experimentation engine that powers both GlobeOne and GOMO’s growth loops — turning engagement data into decision-ready insights, behavioral diagnostics, and AI-personalized lifecycle strategies.
You’ll partner with Growth Managers, and our Applied Behavioral Scientists to uncover what drives adoption, stickiness, and monetization — and build the AI-backed tools and intelligent triggers that deliver measurable lift across every user journey.
This is a rare opportunity to work inside a growth operating model that doesn’t just report dashboards — it defines the next best move. If you think in models, design experiments, and build with system-level scale in mind, we’d love to meet you.

Key Responsibilities

Growth & Behavior Modeling

  • Diagnose friction and habit drop-offs by analyzing digital behavioral data across both apps.

  • Translate growth levers into quantitative models to identify where to intervene — and why it matters.

  • Co-create segmentation frameworks (e.g., activation cohorts, journey states) used by Growth Architects and Growth Marketing teams.

Digital AI & Data Activation

  • Work with our AI and CEP stack (e.g., OfferFit, Snowflake, Braze) to personalize app experiences based on behavior, preferences, and telco data.

  • Embed predictive triggers and nudges into lifecycle journeys — from app opens to top-ups and high-stakes drop-offs.

Experimentation & Learning Loops

  • Design and evaluate A/B tests that uncover root causes of low retention, conversion, or engagement.

  • Identify “growth truths” beyond statistical wins — using experimentation to drive insight generation, not just performance lifts.

Strategic Storytelling

  • Turn insight into business decisions — not noise. Collaborate with Product, Brand, Growth, and Experience teams to bring clarity to ambiguity.

Contribute to cross-team learning culture, sharing behavioral findings, cohort patterns, and campaign impact analyses.

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

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