Join us for an exciting opportunity to advance your data management career and shape our organization’s data strategy.

As a Data Owner Associate in the AML/KYC team, you play a key role in supporting data governance and risk management initiatives. You collaborate with technology and business teams to ensure data is clearly documented, high quality, and well-protected, enabling informed, data-driven decisions.

Job responsibilities

• Execute operational procedures to deliver data supporting business operations, strategic objectives, and analytics

• Assist in capturing and documenting metadata and classifiers for critical data, ensuring clarity for providers and consumers

• Collaborate with technology and business teams to ensure data sourcing, content, and quality meet requirements

• Participate in data governance and risk management tasks, contributing to data integration and maintaining publishing standards

• Support processes to identify, monitor, and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality

• Investigate and document potential data quality issues, escalating for remediation as needed

• Engage in professional development to enhance skills and support data strategy initiatives

Required qualifications, capabilities, and skills

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or related field, or equivalent professional experience in data management or governance

• Five years of overall experience, including two years in data management, data governance, risk management, analytics, or related field

• Strong analytical and problem-solving skills with attention to detail

• Ability to work collaboratively with technology and business teams

• Good communication skills with the ability to document and convey data-related information clearly

• Basic understanding of data management principles and data lifecycle management

• Proficiency in using data management tools and software, or demonstrated ability to quickly learn new technologies

Preferred qualifications, capabilities and skills

• Experience with cloud platforms such as AWS, Google, or Azure
• Experience with relational databases such as Oracle or SQL
• Understanding of cloud databases
• Experience in data modeling