Manager - Total Rewards and Analytics

Job PurposeAs a part of the People & Culture Center of Excellence (COE) team, the Total Rewards Manager will be on a mission to deliver meaningful total rewards to Minor team members at both local and global scales while reshaping total rewards solutions through advanced data analytics and the strategic use of emerging technologies.The role leads the design, analysis, and execution of Total Rewards programs and initiatives. With deep knowledge and expertise in total rewards combined with analytical and digital capabilities, this role is expected to drive the implementation of data-driven reward practices and solutions. This role is accountable for contributing to the transformation of Total Rewards and People & Culture practices through enhanced people systems and the strategic use of analytics, automation, and AI to drive data-informed decisions, operational efficiency, and personalized team member experiences.The incumbent will be responsible for managing the consolidation and development of internal and external database (including policies and practices) for Minor Group. The person will also provide consulting support to People & Culture team on all aspects related to Total Rewards field. This role is ideal for an analytical and organised individual who is data and technology savvy and demonstrates strong logical thinking and business acumen, and the ability to translate insights into impactful rewards solutions to help shape globally scalable, future-ready Total Rewards practices.Main ResponsibilitiesPlease note that this is not an exhaustive list of everything that needs to be done. Minor International team members always find new ways to look after the business, their guests, and their colleagues. Within this, the key responsibilities for this position are to:Manage the execution of key Total Rewards processes (e.g., salary review, incentive payouts, benefit renewals) in coordination with global and regional teams while driving strategic initiatives and applying analytics, AI, and digital tools to optimize policies, workflows, and decision making across Minor Group. Lead the development of prescriptive and/or predictive analytics for total rewards solutions, applying statistical methods and AI techniques to generate insights that guide strategic decision-making across initiatives and projects.Translate data insights into simplified business recommendations and identify potential enhancements to Total Rewards practices to key stakeholders.Champion the adoption of digital and AI-driven tools within Total Rewards by piloting new technologies, measuring their impact, and scaling successful solutions globally.Explore the use cases for applying more digitization and AI/ML in Total Rewards and partnering with related team (e.g., people shared services and IT) to improve reward-related processes through automation, integrations, and digital workflows.Linking rewards outcomes with financial metrics and related measurements by developing dynamic models, dashboards, or forecasting tools to track effectiveness of Total Rewards initiatives/practices and generate actionable insights to optimize the return on investment (ROI).Manage third-party relationships; identifies primary benefit providers, negotiate and monitor quality and cost of services. As well as network extensively to develop external market insights and to strengthen our existing compensation programmes.Carry out any other duties and responsibilities as appropriated.Job SpecificationsQualifications:Native Thai speaker.Excellent verbal and written communication skills in English.Proven logical thinking, data analytics, and project management skills.Able to work on own initiatives and leads projects from end to end.Must be proficient at successfully managing multiple and competing priorities in a fast-paced environment while providing timely internal customer services.Work collaboratively with others with a strong ability to share knowledge and information.Experienced in a multicultural environment is preferred.Highly organized and detail-oriented. Education:Bachelor’s degree in Economics, Engineering, Business Analytics, Business Administration, Data Analytics, Statistics, or other related fields. Master’s degree is preferred.Experience:A minimum of 5 years background in Total Rewards, Compensation & Benefits, Data/People Analytics, System & Technology or related fields are preferred.An experience in applying AI and analytics to People & Culture or Total Rewards solutions would be an advantage.An experience in the implementation or design of Workday or other people systems would be an advantage.An experience in the applying or enhancing processes or practices with technologies and data-driven tools would be an advantage.