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We are looking for an innovative hands-on technologist to run Data Operations for one of the largest global FinTech’s. This is a new role that will transform how we manage and process high quality data at scale and reflects 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.
Job Responsibility:
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 onboarding 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
Requirements:
8+ years’ experience in hands-on data operations including data pipeline monitoring and engineering
Technical expert including 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
The 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
Practical and detailed 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