Location: mexico city, mexico city
team: data management
job requisition #: r
date posted: feb. 10
overview
we are looking for an innovative hands‑on technologist to run data operations for one of the largest global fintechs. This is a new role that will transform how we manage and process high‑quality data at scale and reflect our commitment to invest in an enterprise data platform to unlock our data strategy for blackrock and our aladdin client community. A technology‑first mindset, to manage and run a modern global data operations function with high levels of automation and engineering, is essential. This role requires a deep understanding of data, domains, and the associated controls.
key responsibilities
* ensure on‑time high‑quality data delivery with a single pane of glass for data pipeline observability and support.
* live and breathe best practices of data ops such as culture, processes and technology.
* partner cross‑functionally to enhance existing data sets, eliminating manual inputs and ensuring high quality, and onboard new data sets.
* lead change while ensuring daily operational excellence, quality, and control.
* build and maintain deep alignment with key internal partners on ops tooling and engineering.
* foster an agile collaborative culture which is creative, open, supportive, and dynamic.
knowledge and experience
* 8+ years of hands‑on data operations experience including data pipeline monitoring and engineering.
* technical expert with experience with data processing, orchestration (airflow), data ingestion, cloud‑based databases/warehousing (snowflake) and business intelligence tools.
* champion the adoption of ai‑enabled capabilities across data operations, including anomaly detection, predictive issue management, and automated operational insights to improve resilience, scale, and client experience.
* ability to operate and monitor large data sets through the data lifecycle, including the tooling and observability required to ensure data quality and control at scale.
* experience implementing, monitoring, and operating data pipelines that are fast, scalable, reliable, and accurate.
* understanding of modern‑day data highways, the associated challenges, and effective controls.
* passionate about data platforms, data quality and everything data.
* practical and detail‑oriented operations leader.
* inquisitive leader who will bring new ideas that challenge the status quo.
* ability to navigate a large, highly matrixed organization.
* strong presence with clients.
* bachelor's degree in computer science, engineering, mathematics or statistics.
benefits
we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and flexible time off (fto) so you can relax, recharge and be there for the people you care about.
hybrid work model
employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation.
equal opportunity employer
blackrock is proud to be an equal opportunity employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. Blackrock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
#j-18808-ljbffr