Travel Data Governance Lead

Há 1 mês


Lisboa, Lisboa, Portugal Tripadvisor Tempo inteiro

About Tripadvisor, a leading travel platform, we believe that the most memorable experiences are made possible through data-driven insights. As a Travel Data Governance Lead, you will be at the forefront helping teams create innovative solutions that enable our company to harness the power of data to deliver personalized and unforgettable travel experiences to our customers.

**Job Summary:** We're seeking an experienced Data Governance Lead to own and execute data governance for Data Platform and MarTech systems, collaborating closely with data engineers, analytics engineers, software engineers, and other stakeholders.

We offer a competitive compensation package, including a base salary of **€90,000 - €120,000 per year**, depending on location (Portugal, UK, or Poland), plus annual bonus and equity. Our flexible work environment allows you to balance your lifestyle, and we provide comprehensive benefits, including donation matching, tuition assistance, and health insurance.

The ideal candidate would have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with minimum 8 years of hands-on experience in data governance, data quality, and data privacy implementations, as well as leadership experience. Strong knowledge of industry-standard frameworks like DAMA, DGI, etc., and regulatory requirements in the US and EU is required. Experience in the travel industry is desirable but not mandatory.

In this role, you will:

  • Roll out a governance framework with focus on data quality and protection of sensitive data
  • Create standards and controls to govern data collection, storage, usability, flow, and retention in Data Platform and MarTech systems
  • Support the Data Platform team with the design, development, and maintenance of an enterprise data catalog
  • Work closely with Internal Audit (SOX) Team to establish working structure and support the teams in meeting compliance requirements
  • Implement robust data quality checks and monitoring systems to ensure accuracy, consistency, and reliability of data


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