You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

• Job Purpose
  
  

The Data Analytics Manager is in-charge of

• Creating the Data and Analytics (D&A) roadmap for select value streams and/or programs
• Joining up, transforming, and analyzing data to answer business questions, validate hypotheses, and refine data requirements
• Prioritizing D&A requirements to deliver incremental business value while aligning to the data maturity of the function, value stream, or program
• Providing Data requirements to the IT and Data Platform Teams, so that data needed for analytics is captured and stored correctly in the right granularity and frequency
• Providing Analytics requirements to the Business Intelligence and Reporting Teams, especially on how business performance metrics and KPIs are defined, computed, and monitored
• Providing Analytics requirements to the Advanced Analytics and Gen AI Teams, so that model results align to the planned business action and experience designs
• Leading a team/squad of D&A talents, whether from IT or Business, so that Data and Analytics solutions are deployed on a timely and sustainable manner
• Translating the results of D&A solutions into actionable recommendations
• Embedding D&A recommendations into business processes and campaign designs
• Quantifying the potential impact and realized benefits of analytics solutions
• Testing D&A solutions and conducting peer review
• Collaborating with Business Leads and Value Stream Owners from Marketing, CX, Sales and Distribution, Operations, Products and Actuarial Teams to identify Data and Analytics opportunities, whether Descriptive, Exploratory, Explanatory, or Advanced
• Partnering with the Regional Center of Excellence and Global Data Analytics Teams in replicating best practices and contextualizing use cases to the Philippine market
  
  

The role reports to Data and Analytics Head.

• Specialized Knowledge
• Strong knowledge and understanding of statistical and advanced analytics methodologies
• Experienced as a Data Analytics Product Owner leading a team of Data Modelers, Business Intelligence Engineers, and Data Scientists
• Experienced with data mining and analytics tools, such as AWS Glue, Athena, and SageMaker
• Experienced in data storytelling and data visualization, with a good understanding of design principles
• Experienced in A/B testing and designing experiments
• Strong knowledge on the governance of models and Advanced Analytics processes
• Good understanding of the ethical principles in analytics and model development
• Familiar with the Agile set-up and experienced using collaboration tools, such as Confluence and JIRA
• Strong knowledge of the phases of model development including model design, feature engineering and transformation, model selection, and performance monitoring
• Familiar with model validation processes and documentation, which may include bias and privacy impact assessments
• Strong domain knowledge in providing actionable recommendations and insights to different business units within the Life Insurance, Health, Investments, and Trust Industry
• Education and Experience
• Candidate must possess at least a Bachelor's/College Degree in Computer Science, Statistics, Industrial Engineering or any STEM field.
• 5 to 10 years experience in the field of Data Science and Analytics
• Experienced in delivering analytical solutions and performing model maintenance
• Experienced in querying and pulling data from SQL, SAS, and/or AWS Data Stores
• Experienced working with projects involving large amount of data to conduct exploratory, descriptive, and predictive analytics
• Experienced in documenting business metrics and requirements, data lineages and flows, user guides
• Experienced leading multi-cultural and cross-functional data teams in an Agile set-up
• Ability to communicate effectively and work with stakeholders and end-users at all levels
• Can work independently or as part of team
• Must be willing to work with and learn new technologies
• Must be action-oriented with excellent follow through
  
  

Job Category:

Advanced Analytics

Posting End Date:

30/08/2025