About the team
The E-Commerce team of our client seeks to connect buyers, sellers and content creators to ensure a seamless, trusted online shopping experience. They seek to inspire trust by designing and implementing end-to-end governance & experience programmes to enable a thriving international marketplace.
About the role
As the Creator Governance leader, you will be responsible for mentoring a regional team of governance strategy and program managers who develop policies, run programmes, and drive operational optimisation to improve users' live-shopping experience. You are a systems-thinker, highly data-driven and can develop strategic roadmaps to govern creators' live-selling performance across their lifecycle: from onboarding and commission control, through their participation in key business events such as campaigns and advertisements, to incentive programmes. To keep the live-shopping ecosystem of our client healthy, you will define scenarios and creator behaviors they want to encourage, do not welcome, and develop policies and enforcement levers to reduce poor quality content and adversarial actors, as well as improve live-selling content ecosystem quality.
Roles & Responsibilities
· Provide mentorship and build a successful regional team that develops and implements data-driven policies and strategies to regulate creators' live-selling and their content. This is to ensure a trustworthy and healthy e-commerce ecosystem
· Utilize data-driven methodologies to optimize content recommendations and close policy and implementation gaps by discovering, measuring, and resolving abusive creator behavioral and content quality trends
· Design and implement solutions to improve our client's short video and livestream content quality & traffic conversion; increase e-commerce creators' retention and activity; increase awareness of our client's policies and rules; increase creator and user satisfaction. This involves working with cross-functional teams across countries to surface nuanced cultural insights, manage regulatory trends, and implement solutions to close gaps across policies, processes, and product
· Lead regional initiatives and programmes that are adapted and implemented successfully across APAC countries in a matrixed organization
· Drive product feature improvements and channel this feedback in a structured and timely manner to the Product, Engineering, Algorithm teams
· Design, coordinate and execute a variety of high profile ad hoc insights projects using a range of various methodologies to understand users' viewing and purchasing preferences and iterate content strategies accordingly to provide the most trustworthy and localized content for each region
Requirements
· Bachelor's degree and above, preferably in a quantitative field such as Analytics, Statistics, Mathematics, Engineering, Economics, Data Science etc from a top tier institution. Advanced degree preferred
· 7+ years of professional experience in Strategy or Operations Management Consulting, Platform Governance, Trust and Safety Policymaking and Operations Management, or Ecommerce Strategy, Seller or Product Growth, Risk, Compliance, or Experience programmes
· 3+ years of people management experience with a size of 10 or more
· Able to thrive in ambiguous situations and forge a path forward to build solutions from 0 to 1. Ability to shuttle from strategy development to strong execution
· Highly data driven, with experience analyzing and utilizing data-driven methodologies for segmentation, risk discovery, programme design, and OKR business goal setting. Strong business, product, and research acumen
· Driven, proactive, action-oriented and results-oriented with strong critical thinking abilities -- able to thrive in a fast-paced, matrixed and very dynamic environment. Able to absorb dense information quickly
· Excellent stakeholder and programme management ability -- to influence cross-functional stakeholders, including senior leaders to achieve results
· Proficiency with data analysis tools (e.g., advanced Excel, SQL, Python) and experience analyzing large data sets is advantageous
Contact details
Email: lam.tran@ev-search.com
Mobile/Whatsapp: +84 902 350 377
