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Ai Data Analytics Jobs (NOW HIRING)

UMB Financial Corporation

AI Data Architect

Kansas City, MO · On-site +1

$62.25 - $80/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... As AI Data Architect, you will be responsible for designing and implementing enterprise-scale data ...

Carlyle

AI & Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

The AI & Data Architect will ensure that enterprise data is trusted, well-governed, context-rich, and readily usable by analysts, applications, LLMs, agents, generative AI products, and analytical ...

UMB Financial

AI Data Architect

Kansas City, MO · On-site +1

$62.25 - $80/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... As AI Data Architect, you will be responsible for designing and implementing enterprise-scale data ...

GSRINC

Chief AI & Data Architect

Oakland, CA · Hybrid

$73.25 - $94.25/hr

Required Qualifications * 15+ years of leadership experience across data, analytics, AI, or enterprise technology. * Proven experience delivering enterprise?scale AI and data programs in complex ...

UMB Financial

AI Data Architect

OR · On-site +1

$63.75 - $82/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... As AI Data Architect, you will be responsible for designing and implementing enterprise-scale data ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency. Design and govern cloud-based data platforms ...

Elite Technical

AI Data Scientist

Columbia, MD · Hybrid

AI Data Scientist Seeking a Data Scientist who can lead the proliferation of machine learning and ... Uses advanced analytical capabilities to support data science initiatives. Communicates across ...

Lockheed Martin

AI Data Engineer Staff

Fort Worth, TX

$109.60K - $131.60K/yr

... analysts, and mission stakeholders to operationalize AI models and knowledge graphs Implement rigorous data validation, lineage, and governance controls in compliance with security requirements ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129.50K - $155.50K/yr

Optimize data workflows for real-time analytics and decision-making. * Ensure adherence to data governance policies and security protocols. * Stay current on data engineering, AI, and machine ...

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129.50K - $155.50K/yr

Optimize data workflows for real-time analytics and decision-making. * Ensure adherence to data governance policies and security protocols. * Stay current on data engineering, AI, and machine ...

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How much do ai data analytics jobs pay per hour?

As of May 30, 2026, the average hourly pay for ai data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What is the average salary of a data analyst with AI?

The average salary of a data analyst with AI skills typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Professionals with expertise in machine learning, programming languages like Python, and data visualization tools tend to earn higher salaries.

Which 3 jobs will survive AI?

AI Data Analysts, data scientists, and machine learning engineers are likely to continue thriving as their roles involve complex analysis, model development, and interpretation that require human expertise. These jobs demand skills in statistics, programming, and critical thinking, making them less susceptible to automation. Continuous learning and proficiency with AI tools are essential for long-term job security in these fields.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

More about Ai Data Analytics jobs
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Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
AI Data Architect

AI Data Architect

UMB Financial Corporation

Kansas City, MO • On-site, Remote

$62.25 - $80/hr

Full-time

Posted yesterday

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) 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 be within the US.
How you will 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 are excited to talk if you have:
  • 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.
  • 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.

Bonus Points if you have:
  • Master's degree in Data Science, Information Management, or related discipline and 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).

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Application Deadline: July 28, 2026
Compensation Ranges:
US Employees in California, Washington DC, New Jersey, and New York:
$100,710 - $157,630
US Employees in Colorado, Connecticut, Delaware, Illinois, Massachusetts, Maryland, Minnesota, Pennsylvania, Rhode Island, Texas, Washington, and Wisconsin:
$91,950 - $144,320
US Employees in all other states not listed above:
$83,200 - $131,000
The posted compensation range on this listing represents UMB's good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. 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.
If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.
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