Manager - Applied AI/ML for Hyper-Personalization
This role leads a data science team to build and operationalize AI-driven hyper-personalization models for Globe’s campaign management, bridging technical execution with business impact. The manager focuses on end-to-end ML workflows, from model development to real-time delivery, while fostering cross-functional collaboration to scale personalized solutions.
Skills required
About this role
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
The manager for Applied AI and Machine Learning for Hyper-Personalization champions the use of AI, data science, machine learning, and advanced analytics in enabling hyper-personalization for campaign management, and drives the day-to-day execution of the data science team, leading the team to develop and implement AI and machine learning models from development to operationalization in the delivery of hyper-personalized campaignsDUTIES AND RESPONSIBILITIES:
The responsibilities of this position will include but will not be limited to the following:
Champion data science, AI, and machine learning to Identify opportunities and partner with stakeholders for the application of AI, machine learning and advanced analytics techniques towards enabling hyper-personalization efforts for customer engagement campaigns, and unlock new AI use cases to drive better take-up or incremental revenues in campaigns.
Conceptualize, design, develop and implement machine learning and AI models related to campaign targeting and offers, such as propensity models for predicting different customer states to uncover upsell and churn-save opportunities, as well as recommender systems to improve offer arbitration for customers. - Create models based on the needs and requirements of the campaign squads, and deliver the models end-to-end from exploratory data analysis, to ideation and selection of models, to eventual operationalization and monitoring of model performance.
Lead the data science team in the day-to-day execution of the team’s tasks in the execution of the team’s backlog, and provide guidance on backlog prioritization, and manage team’s workload to properly balance delivery, and manage impediments and dependencies raised. Ensure that AI scores and models are running and generated to support the regular campaign runs and delivery of hyper-personalized offers.
Drive cross-functional collaboration for specific campaigns/programs where AI techniques or approaches are involved, providing recommendations on effective and efficient ways to integrate AI and analytics to the work process or platforms involved.
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
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
