Business Analysis and Management: Global Business Solutions business data analysis, develop strategic planning, provide solutions and implementation plans; based on the understanding and analysis of the specific business domains, continuously optimize control rules, product tools and business operations, to provide strong support for the implementation of the strategy.
Regular monitoring and data analysis on various business metrics of Outbound E-commerce, and provide corresponding solutions to assist the platform sales team to continuously improve consumer experience.
Business puzzle breakdown: familiar with Outbound E-commerce rules, deeply support sales and client solution team leader to do project task breakdown, prioritization, monitoring important business progress; able to measure project output and efficiency through quantitative and qualitative analysis....
We are in the business of solutions - these cover everything from strategy, product adoption and optimizations to help our clients link their marketing objectives to their business goals.
Continuously keeping up-to-date with product evolutions, competitive dynamics, and vertical market trends to deliver holistic, actionable insights that guide strategic roadmaps for clients, agency partners, and internal stakeholders.
Design and execute robust "test-and-learn" frameworks utilizing full-funnel measurement solutions—including Brand Lift Studies (BLS), Conversion Lift Studies (CLS), and overall ad effectiveness metrics—to continuously optimize campaign performance....
Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights.
Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team with supporting examples for any potential gaps in LLM decision making draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training....
Lead data annotation projects: manage the end-to-end execution of multiple projects, ensuring performance targets and SLAs are met.
Serve as the primary stakeholder interface for key internal requestors: translate product or business needs into clear labeling project requirements, align on targets, support workforce management planning, and develop delivery plans.
Drive delivery governance and cross-functional collaboration: establish operating rhythms, execution reviews, and escalation frameworks across QA, vendor, and business teams....
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization;...
