At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.
As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.
Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

PREFERRED QUALIFICATIONS

• Knowledge of trademark data, intellectual property, or legal data management
• Experience with AWS cloud ecosystem and Databricks
• Understanding of automated data pipelines and ETL processes
• Experience with data migration projects
• Familiarity with Python or other programming languages for data validation
  This role will be instrumental in ensuring our transition from legacy systems delivers immediate benefits in terms of reliability, efficiency, and data quality for our customers.
  Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact

THE ROLE

We are building Markflow, a next-generation platform for trademark data and AI that will replace legacy systems with a standardized, automated AWS-based solution. This platform will serve as the foundation for our trademark search, screening, and watch services.
We’re seeking a Data Quality Manager to own the integrity and governance of our trademark data across 190+ jurisdictions. This role will bridge the gap between business requirements and technical implementation, ensuring our data meets the highest standards of accuracy and completeness.

RESPONSIBILITIES AND DUTIES

• This role should design and own the data model, and be accountable for keeping it simple, consistent, well designed, etc.
• Design and document the data flows & transformation; ingestion, enrichment, validation, exports, etc.
• Own the data quality, leverage technology to measure and proactively monitor data quality, produce KPIs on this
• Continuously optimise; identify, understand and automate any manual data validation & enrichment tasks
• Close collaboration with Data Ops on data source & vendor management, ad-hoc analysis, change management