APAC RIB & Business Operations Lead

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 150,000 - 180,000; Full time

Job summary

Google Asia Pacific PTE. LTD. is seeking an APAC Business and Retail Investment Budget Operations Manager to drive quarterly planning cadences and ROI insights across APAC markets.

You will collaborate with PDCO leadership and cross-functional teams to enable growth opportunities and improve investment decisions with robust data capabilities. The role requires strong commercial acumen, data analysis, and transformation workstream leadership to refine budgeting tools and operating models in a

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience in business planning and investment processes preferred.
• Strong analytical and strategic thinking required.

Responsibilities

• Partner with Country Category Business Managers, Finance and Sales Operations to drive quarterly business and investment planning cadences across APAC markets.
• Drive leadership reviews on APAC business performance, category insights and ROI.
• Lead program management of RIB tracking and planning tools for effective decision-making.
• Partner APAC Country leads, CBM managers, Finance and Commercial Operations to define RIB transformation workstreams.
• Lead APAC-wide program management for annual planning processes and data/tools infrastructure.

Skills

Stakeholder management

Data analysis

Program management

AI tools usage

Education

Bachelor's degree or equivalent practical experience

Job description

Google Asia Pacific PTE. LTD. is seeking an APAC Business and Retail Investment Budget Operations Manager to drive quarterly planning cadences and ROI insights across APAC markets.

You will collaborate with PDCO leadership and cross-functional teams to enable growth opportunities and improve investment decisions with robust data capabilities. The role requires strong commercial acumen, data analysis, and transformation workstream leadership to refine budgeting tools and operating models in a