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Our client is building a new Data Operations function to provide reliable, validated data across the firm for better decision-making and Responsible AI adoption. You will define and validate data, implement quality controls, and partner with teams to ensure data accuracy.
This is an early hire role with real ownership of how data quality is built from the ground up, including managing source-of-truth and data dictionaries. Collaboration across departments is essential to success.
Our client is a privately owned investment firm building a brand-new Data Operations function. The goal is a foundation of reliable, validated data that supports better decisions, automation, and responsible AI adoption across the firm. You’ll be an early hire shaping how that data gets defined, checked, and trusted by every team that relies on it.
C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.
$60,000–$80,000.