Overview
In this role you lead large-scale seller lifecycle governance initiatives for TikTok Shop in the EMEA region. You will design and drive governance roadmaps, manage cross-functional programs, and translate data insights into scalable policies that protect customers and sustain marketplace health. You’ll balance growth with governance effectiveness across multiple markets. This is a strategic, execution-focused role that shapes how sellers operate and how trust is maintained for buyers, sellers, and creators.
Responsibilities
- Design and execute seller lifecycle governance strategies and roadmaps for EMEA
- Own end-to-end cross-functional governance programs across markets including scoping, prioritization, launch, and post-launch tracking
- Analyze ecosystem data, investigations, and feedback to identify risks and opportunities and translate findings into scalable governance solutions
- Develop scalable governance frameworks, policies, and automation to improve governance and seller quality
- Collaborate with Product, Algo, Governance Ops, Business Ops, Legal to define requirements and drive improvements
- Act as subject matter expert for Seller Governance programs, establish monitoring mechanisms, manage escalations, and provide data-driven insights for leadership decisions
Key requirements
- Bachelor’s degree or equivalent practical experience
- 3+ years in e-commerce, operations, compliance, marketplace governance, or related fields
- Strong analytical and quantitative skills; proficient with data to back up recommendations (Excel/Sheets required; SQL a plus)
- Clear, effective communication with ability to influence cross-functional stakeholders
- Ability to navigate ambiguity, adapt to fast-changing environments, and manage multiple priorities with ownership
- Experience in e-commerce, marketplace platforms, or policy/governance with strong commercial acumen
- Influence across cross-functional teams
- Structured, data-driven decision making
- Adaptability in fast-paced environments
- Excel/Sheets
- SQL (a plus)
- Data analysis and interpretation
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