Data Operations Lead
Los Angeles, California, United States
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the team
The Data & Analytics(D&A) team aims to use data as powerful language to translate business goals and evaluate business achievement. As one of functions on the Content Strategy & Policy team, the D&A team inherits Content Strategy & Policy team's general mission : be a connective tissue between cross functional stakeholders from a data perspective and provide analytics and internal operational tool support. It includes 3 parts: Central D&A, Regional D&A, Data Operation team.
Responsibilities
The general goals for the team are to:
- Provide a general measurement framework to evaluate Content Ops contribution with internal Content Ops team and Product and Algo team.
- Create elite one stop data tool with unified metrics definition for Content Ops team daily operation efficiency improvement.
- Provide best-in class analytics and ecosystem insights for the Content organization.
- Optimize/scope internal operational tools to improve efficiency in the areas reflected by general measurement framework.
As for the lead of Data Operation team, the main goals is to proactivly optimize/scope internal operational tools to improve efficiency in the areas reflected by general measurement framework. The following specific responsibility are needed:
- Work with Central D&A, Data BP, PM and Ops stakeholder optimizing / scoping internal operational tools (e.g., CRM) to improve efficiency in the areas reflected by general measurement framework and address key needs of Creator and Publisher teams.
- Work with Central D&A leaders to explore and scale day-to-day data analysis work into tools to improve efficiency.
- Work with other Central D&A members to connect operational tools and performance metrics to explore opportunities for Ops output and efficiency optimization.
- Responsible for data sync from important external platforms (e.g., Tubular) for Content Ops team
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the team
The Data & Analytics(D&A) team aims to use data as powerful language to translate business goals and evaluate business achievement. As one of functions on the Content Strategy & Policy team, the D&A team inherits Content Strategy & Policy team's general mission : be a connective tissue between cross functional stakeholders from a data perspective and provide analytics and internal operational tool support. It includes 3 parts: Central D&A, Regional D&A, Data Operation team.
Responsibilities
The general goals for the team are to:
- Provide a general measurement framework to evaluate Content Ops contribution with internal Content Ops team and Product and Algo team.
- Create elite one stop data tool with unified metrics definition for Content Ops team daily operation efficiency improvement.
- Provide best-in class analytics and ecosystem insights for the Content organization.
- Optimize/scope internal operational tools to improve efficiency in the areas reflected by general measurement framework.
As for the lead of Data Operation team, the main goals is to proactivly optimize/scope internal operational tools to improve efficiency in the areas reflected by general measurement framework. The following specific responsibility are needed:
- Work with Central D&A, Data BP, PM and Ops stakeholder optimizing / scoping internal operational tools (e.g., CRM) to improve efficiency in the areas reflected by general measurement framework and address key needs of Creator and Publisher teams.
- Work with Central D&A leaders to explore and scale day-to-day data analysis work into tools to improve efficiency.
- Work with other Central D&A members to connect operational tools and performance metrics to explore opportunities for Ops output and efficiency optimization.
- Responsible for data sync from important external platforms (e.g., Tubular) for Content Ops team
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Categories:
Leadership Jobs
MLOps Jobs
Tags: Data analysis DataOps
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Engineer II jobsBI Developer jobsData Scientist II jobsStaff Data Scientist jobsPrincipal Data Engineer jobsData Manager jobsJunior Data Analyst jobsData Science Manager jobsResearch Scientist jobsLead Data Analyst jobsBusiness Data Analyst jobsSenior AI Engineer jobsData Engineer III jobsSr. Data Scientist jobsData Science Intern jobsData Specialist jobsJunior Data Engineer jobsSoftware Engineer, Machine Learning jobsSenior Data Scientist, Performance Marketing jobsSoftware Engineer II jobsData Analyst Intern jobsBI Analyst jobsData Analyst II jobsSr Data Engineer jobsSenior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America jobs
Snowflake jobsEconomics jobsLinux jobsHadoop jobsOpen Source jobsJavaScript jobsPhysics jobsMLOps jobsComputer Vision jobsAirflow jobsKafka jobsRDBMS jobsBanking jobsNoSQL jobsGoogle Cloud jobsData Warehousing jobsScala jobsR&D jobsKPIs jobsData warehouse jobsGitHub jobsOracle jobsClassification jobsPostgreSQL jobsSAS jobs
CX jobsStreaming jobsLooker jobsScikit-learn jobsScrum jobsTerraform jobsPandas jobsPySpark jobsDistributed Systems jobsBigQuery jobsData Mining jobsRobotics jobsJira jobsIndustrial jobsJenkins jobsRedshift jobsdbt jobsReact jobsUnstructured data jobsMicroservices jobsData strategy jobsE-commerce jobsMySQL jobsMatlab jobsNumPy jobs