AI Cloud Data Engineer

About this role

UMB’s Artificial Intelligence (AI) team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.

As AI Data Architect, you will be responsible for designing and implementing enterprise-scale data architectures that enable secure, scalable, and compliant adoption of AI across the financial organization. You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ensure reliable, ethical, and regulatory-compliant use of data. You will also provide strategic leadership in modernizing data ecosystems, enabling advanced analytics, and aligning AI-ready data platforms with business priorities in payments, risk management, compliance, and customer experience. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.

This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area. However, the remote location must within the US.

*How you’ll spend your time:*

• Define and implement enterprise-wide AI data architecture strategies to enable secure, scalable, and compliant AI/ML adoption across the organization.
• Design canonical data models, metadata frameworks, and pipelines to support AI/ML model development, training, deployment, and monitoring.
• Establish standards for data quality, lineage, master data management (MDM), and “golden record” frameworks to ensure reliable AI outputs.
• Collaborate with data governance, compliance, and security teams to enforce policies for ethical and responsible AI data usage.
• Architect and ...