AI Data Architect jobs in United States
cer-icon
Apply on Employer Site
company-logo

UMB Bank · 3 hours ago

AI Data Architect

UMB Bank is focused on driving automation and data-driven decision making through their Artificial Intelligence team. As an AI Data Architect, you will design and implement enterprise-scale data architectures to ensure secure and compliant adoption of AI, while providing leadership in modernizing data ecosystems aligned with business priorities.

BankingFinanceFinancial Services
badNo H1Bnote

Responsibilities

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 oversee AI-ready data platforms (cloud, hybrid, and on-prem) to integrate structured, unstructured, and streaming data sources
Implement modern data architectures (e.g., data mesh, data fabric, Lakehouse, Apache Iceberg/Delta Lake) to accelerate AI/ML projects
Optimize AI/ML workloads on cloud platforms (AWS, Azure, GCP) and manage data pipelines using tools like Kafka, Glue, Spark, and Snowflake
Partner with AI engineers, data scientists, and business leaders to align data architecture with financial products, regulatory compliance, and risk management needs
Provide architectural leadership in modernization efforts (real-time payments, fraud detection, personalization engines, and regulatory reporting.)

Qualification

AI data architectureEnterprise data platformsData governanceCloud data platformsBig data platformsDatabase technologiesData integration patternsRegulatory complianceArchitectural leadershipAI observability toolsPrivacy-preserving technologiesCross-functional collaboration

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
At least 7 years of experience in data architecture, enterprise data management, or large-scale data engineering, OR equivalent combination of education and work experience
Proven experience designing and implementing enterprise data platforms supporting AI/ML initiatives
Strong understanding of data governance, regulatory requirements, and compliance in financial services
Experience partnering with cross-functional teams to deliver enterprise-grade data solutions
Expertise in enterprise data architecture frameworks, canonical models, and metadata management
Knowledge of AI/ML lifecycle data requirements, including model training, validation, and monitoring
Proficiency with cloud data platforms (AWS Redshift, Snowflake, Azure Synapse, GCP BigQuery)
Familiarity with big data and streaming platforms (Kafka, Spark, Flink)
Strong skills in database technologies (SQL, NoSQL, graph databases) and data integration patterns

Preferred

Master's degree in Data Science, Information Management, or related discipline
At least 10 years of experience in financial services or regulated industries
Certifications such as AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, or DAMA CDMP
Regulatory reporting, risk data aggregation, and AI-specific compliance frameworks experience
Experience presenting and defending architectural decisions with senior executives and regulators
Hands-on experience with data Lakehouse technologies (Apache Iceberg, Delta Lake, Hudi)
Advanced knowledge of MDM, data mesh, and distributed architectures
Experience with AI observability and monitoring tools for data pipelines
Familiarity with privacy-preserving technologies (differential privacy, secure multiparty computation)
Deep understanding of AI-driven data applications in banking (fraud detection, personalization, regulatory reporting)

Benefits

Paid Time Off
401(k) matching program
Annual incentive pay
Paid holidays
A comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage
Health savings, flexible spending, and dependent care accounts
Adoption assistance
An employee assistance program
Fitness reimbursement
Tuition reimbursement
An associate wellbeing program
An associate emergency fund
Various associate banking benefits

Company

UMB Bank

twittertwittertwitter
company-logo
UMB Financial Corporation is a commercial bank that offers various financial services.

Funding

Current Stage
Public Company
Total Funding
$606.13M
2025-05-29Post Ipo Equity· $294.53M
2024-04-29Post Ipo Equity· $201.6M
2022-09-23Post Ipo Debt· $110M

Leadership Team

leader-logo
Brian Hutchin
Executive Vice President, Director of Healthcare Services at UMB, Institutional Banking Division
linkedin
leader-logo
Phillip Mason
President of Institutional Banking
linkedin
Company data provided by crunchbase