Manager - Applied AI/ML for Hyper-Personalization

Hammerjack Pty Ltd; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Globe is seeking a Manager for Applied AI and Machine Learning for Hyper-Personalization to champion AI and analytics in campaign management. You will lead and grow a data science team, partnering with stakeholders to translate data insights into actionable personalized campaigns.

In this role, you will guide end-to-end ML initiatives from discovery to deployment, ensuring models are monitored and integrated into daily campaign execution, driving incremental value and customer engagement.

Responsibilities

• Champion data science, AI, and ML to identify opportunities and enable hyper-personalization in customer engagement campaigns.
• Conceptualize, design, develop and deploy ML/AI models for targeting and offers, from data exploration to monitoring.
• Lead the data science team, manage backlog, priorities, and ensure AI scores support campaign runs.

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

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 campaigns

DUTIES 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

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.