Associate, Data Operations

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company.

We’re nationally recognized as an industry leader in financial services.

That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country.

We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America.

Here, we're not simply filling roles.

We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package.

We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts.

Learn more about Bank OZK benefits .

Responsible for orchestrating, developing, maintaining and monitoring end-to-end data pipelines using standard enterprise toolsets.

You will ensure data visibility through our data observability and governance platform, enable seamless data flow and integrity across the organization.

• Collaborate with the data engineering teams as well as business stakeholders to understand, implement, and explain data process dependencies, establish internal and external data operations to support service level agreements (SLA’), notification management, data classification, and support data quality.
• Orchestrates Data Pipelines across multiple tools and environments using event-based scheduling.
• Integrates multiple data platforms to enable data lineage, observability, classification and quality metrics in a single user experience.
• Setup monitoring of pipeline using SLA’s, notifications, determine restart strategies, parallelism and execution pools.
• Ensures data ingestion, transformation, analytical models, extracts, integrations, dashboards and reports run efficiently and reliably; troubleshoots and resolves data pipeline issues.
• Analyze performance, storage and cost trends, raise alerts and make recommendations for improvements, as needed.
• Automates repeatable processes, abstracts event-based flows to a manageable framework and ensures the lineage is visible through third party tools.