AI Data Architect

Job description

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) at the UMB Tech Center located in downtown Kansas City, MO.**

**_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 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.

**_We’re excited to talk with you if:_**

+ 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 have 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 have knowledge of AI/ML lifecycle data requirements, including model training, validation, and monitoring.
+ You have proficiency with cloud data platforms (AWS Redshift, Snowflake, Azure Synapse, GCP BigQuery).
+ You have familiarity with big data and streaming platforms (Kafka, Spark, Flink).
+ You have strong skills in database technologies (SQL, NoSQL, graph databases) and data integration patterns.

**_Bonus Points If:_**

+ You have a Master’s degree in Data Science, Information Management, or related discipline and at least 10 years of experience in financial services or regulated industries.
+ You have certifications such as AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, or DAMA CDMP.
+ You have regulatory reporting, risk data aggregation, and AI-specific compliance frameworks experience.
+ 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 have familiarity with privacy-preserving technologies (differential privacy, secure multiparty computation).
+ You have 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.**

**Compensation Range:**

$83,200.00 - $178,800.00

_The posted compensation range on this listing represents UMB’s standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors.

In addition, this range does not encompass the full earning potential for this role.

Please see the description of benefits included with this job posting for additional information_

UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 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; and various associate banking benefits.

Benefit offerings and eligibility requirements vary.

**Are you ready to be part of something more?**
You're more than a means to an end—a way to help us meet the bottom line.

UMB isn't comprised of workers, but of people who care about their work, one another, and their community.

Expect more than the status quo.

At UMB, you can expect more heart.

You'll be valued for exactly who you are and encouraged to support causes you care about.

Expect more trust.

We want you to do the right thing, no matter what.

And, expect more opportunities.

UMBers are known for having multiple careers here and having their voices heard.

_UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _talentacquisition@umb.com_ _to let us know the nature of your request._

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**_Who we are_**
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We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed.

Learn more about UMB's vision (https://p1.aprimocdn.net/umb/8cf58ce2-e9d6-4621-b60a-b09f01638943/UMB_Tuce_Book_Original_file.pdf)

Check out the road to a career at UMB

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