AI Data Architect

UMB’s Artificial Intelligence (AI) team is responsible for driving automation, data‑driven decision making and software modernization using AI‑centric tools. The AI Data Architect will design and implement enterprise‑scale data architectures that enable secure, scalable and compliant AI across the financial organization. This role bridges data engineering, governance and AI/ML model lifecycle requirements to ensure reliable, ethical and regulatory‑compliant use of data, and provides strategic leadership in modernizing data ecosystems for payments, risk management, compliance and customer experience.

• Define and implement enterprise‑wide AI data architecture strategies to enable secure, scalable and compliant AI/ML adoption.
• 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, on‑prem) to integrate structured, unstructured and streaming data sources.
• Implement modern data architectures (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).

• You have a bachelor’s degree in Computer Science, Information Systems, Data Engineering or related field and 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.
• You have proven experience designing and implementing enterprise data platforms supporting AI/ML initiatives.
• You possess a strong understanding of data governance, regulatory requirements and compliance in financial services.
• You have experience partnering with cross‑functional teams to deliver enterprise‑grade data solutions.
• You have expertise in enterprise data architecture frameworks, canonical models and metadata management.
• You understand AI/ML lifecycle data requirements, including model training, validation and monitoring.
• You are proficient with cloud data platforms (AWS Redshift, Snowflake, Azure Synapse, GCP Big Query).
• You are familiar with big data and streaming platforms (Kafka, Spark, Flink).
• You have strong skills in database technologies (SQL, No
  
  SQL, graph databases) and data integration patterns.

• You hold a master’s degree in Data Science, Information Management or related discipline and have at least 10 years of experience in financial services or regulated industries.
• You possess certifications such as AWS Certified Data Analytics – Specialty, Google Professional Data Engineer or DAMA CDMP.
• You have experience with regulatory reporting, risk data aggregation and AI‑specific compliance frameworks.
• You have experience presenting and defending architectural decisions with senior executives and regulators.
• You have hands‑on experience with data lakehouse technologies (Apache Iceberg, Delta Lake, Hudi).
• You have advanced knowledge of MDM, data mesh and distributed architectures.
• You have experience with AI observability and monitoring tools for data pipelines.
• You are familiar with privacy‑preserving technologies (differential privacy, secure multiparty computation).
• You possess deep understanding of AI‑driven data applications in banking (fraud detection, personalization, regulatory reporting).

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.

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