At U.S. Bank, the Head of Data Operations is responsible for overseeing the end-to-end lifecycle of enterprise data operations, including data ingestion, integration, storage, processing, and availability. This role ensures that high-quality, timely, and reliable data is delivered to business stakeholders and analytics platforms, supporting data-driven decision-making across the organization.
Requirements
- Strong hands-on knowledge of cloud data technologies (e.g., AWS, GCP, Azure), SQL, Python, and orchestration tools (e.g., Airflow, dbt, Prefect)
- Experience with DevOps, CI/CD practices, and monitoring/logging tools (e.g., Datadog, Prometheus, Grafana)
- Familiarity with data quality and governance frameworks
Responsibilities
- Lead the Data Operations team including data engineers, platform administrators, and support analysts. Drive excellence in data ingestion, ETL/ELT pipelines, data warehousing, and data delivery
- Manage and scale the enterprise data platform(s), including cloud and on-premises solutions (e.g., Snowflake, Databricks, AWS/Azure services)
- Design, monitor, and continuously improve data pipelines to ensure consistent data availability, minimal downtime, and high data quality
- Own operational KPIs, incident response procedures, and service level agreements (SLAs) for data delivery and platform performance
- Drive automation of repetitive data tasks and implement observability tools to proactively identify and resolve issues
- Ensure data operations comply with data privacy, security, and regulatory standards. Support audit and compliance reporting needs
- Monitor and optimize cloud data platform spend, storage, and processing costs
Other
- Work closely with Data Engineering, BI/Analytics, Governance, and Security teams to ensure alignment and support cross-functional initiatives
- Establish best practices for data operations, including version control, metadata, lineage tracking, and runbooks
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
- 10+ years of experience in data engineering, data infrastructure, or data operations
- 8+ years of experience leading technical teams or managing data platforms at scale
