Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
4 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Country Financial
Bloomington, IL · $93,200 – $128,150
This role bridges business and technical teams to manage data quality and customer data ecosystems, primarily working with Informatica MDM and Salesforce platforms. It suits analysts with deep experience translating business needs into data governance solutions and leading cross-functional initiatives.
Listed on Country Financial’s careers site · Apply there ↗
Under Armour
Baltimore, MD · $75,000 – $100,000
Under Armour seeks a senior data professional to oversee master data quality and governance across the organization, working with cross-functional teams to define standards, resolve data issues, and lead process improvements. This role suits experienced data management professionals ready to drive enterprise-wide data governance initiatives from a Baltimore headquarters location.
Listed on Under Armour’s careers site · Apply there ↗
LSEG
PLN 120,900 – PLN 191,300
This role leads data quality initiatives for private markets financial datasets, ensuring accuracy and completeness across M&A, private equity, loans and infrastructure data. It suits someone with experience in financial data operations who can manage vendor relationships, design quality controls, and drive process improvements across a complex data landscape.
Listed on LSEG’s careers site · Apply there ↗
XPeng
Full-time · Santa Clara, CA · $203,450 – $344,300
This role designs and maintains the integrated architecture for collecting, processing, and using vehicle data to train autonomous driving AI models at scale. It suits engineers with experience in large-scale data systems, AI infrastructure, and end-to-end machine learning pipelines who want to shape the technical foundation of a self-driving car company.
Listed on XPeng’s careers site · Apply there ↗