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Information Science Technology Jobs in Missouri (NOW HIRING)

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing ... Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared ...

IT Intern

Chesterfield, MO · On-site

$14.75 - $19.75/hr

Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business Information Systems, or a related field * Strong interest in technology and problem solving

IT Intern

Chesterfield, MO

$14.75 - $19.75/hr

Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business Information Systems, or a related field * Strong interest in technology and problem solving

IT Intern

Chesterfield, MO

$14.75 - $19.75/hr

Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business Information Systems, or a related field * Strong interest in technology and problem solving

IT Intern

Chesterfield, MO

$14.75 - $19.75/hr

Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business Information Systems, or a related field * Strong interest in technology and problem solving

Requirements QUALIFICATIONS: * 60 hours or more completed toward course of study in Information Technology, Computer Science, or a related field. * Basic understanding of computer hardware and ...

Intern - IT

Columbia, MO · On-site

$15/hr

Requirements QUALIFICATIONS: * 60 hours or more completed toward course of study in Information Technology, Computer Science, or a related field. * Basic understanding of computer hardware and ...

IT Manager

Saint Louis, MO · On-site

$92K - $113K/yr

Required : • Bachelor's degree in IT, Computer Science, Engineering, or equivalent experience. • Five (5) or more years managing IT infrastructure or advanced technical support environments. • ...

IT Manager

Saint Louis, MO · On-site

$92K - $113K/yr

Bachelor's degree in IT, Computer Science, Engineering, or equivalent experience. * Five (5) or more years managing IT infrastructure or advanced technical support environments. * At least two (2) ...

Principal IT Architect

Saint Louis, MO · On-site

$140 - $180/hr

College Degree in Computer Science is preferred, 10+ years IT experience, with at least 8 years of application development experience. * At least 5 years of development experience in .NET (especially ...

Information Technology Support Tech

Kansas City, MO · On-site

$21 - $28.75/hr

Associate degree in IT, Computer Science, Networking or related field * Years of related work experience: 1-3 * High level knowledge of applicable computer software and hardware. * Working knowledge ...

IT Manager

Chesterfield, MO · On-site

$94K - $115K/yr

Company Description We are currently seeking an experienced IT Manager to manage department staff ... Bachelor's degree in Computer Science, MIS, related field or equivalent experience. * 5+ years of ...

IT Manager

Chesterfield, MO · On-site

$94K - $115K/yr

Company Description We are currently seeking an experienced IT Manager to manage department staff ... Bachelor's degree in Computer Science, MIS, related field or equivalent experience. * 5+ years of ...

Showing results 21-40

Information Science Technology information

See Missouri salary details

$22

$51

$78

How much do information science technology jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for information science technology in Missouri is $51.97, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $64.28 per hour, depending on experience, location, and employer.

What is information science technology?

Information Science Technology is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and dissemination of information using technology. It combines principles from computer science, information systems, and library science to help manage digital information and data effectively. Professionals in this field work on designing and implementing information systems, ensuring data security, and improving information accessibility for organizations and users.

What are the key skills and qualifications needed to thrive as an information science technology professional?

To thrive as an Information Science Technology professional, you need a strong background in computer science, data management, and information systems, often supported by a relevant degree. Familiarity with programming languages, databases, analytics tools, and certifications like CompTIA, CISSP, or Microsoft Certified: Azure Fundamentals is highly valued. Critical thinking, effective communication, and problem-solving skills help individuals excel in translating technical concepts and collaborating with diverse teams. These skills are crucial for efficiently managing information resources, ensuring data integrity, and supporting organizational objectives in a technology-driven environment.

How do information science technology professionals typically collaborate with other departments within an organization?

Information Science Technology professionals often work closely with departments such as IT, data analytics, business operations, and management to support organizational goals. They may be involved in designing information systems, optimizing data flows, and ensuring that technology solutions align with business needs. Successful collaboration requires strong communication skills and the ability to translate technical concepts for non-technical colleagues. Regular cross-functional meetings and project-based teamwork are common, providing valuable opportunities to learn about different business processes and contribute to strategic decision-making.

What is the difference between Information Science Technology vs Information Systems Analyst?

AspectInformation Science TechnologyInformation Systems Analyst
Required CredentialsBachelor's in Information Science, Technology, or related fieldsBachelor's in Computer Science, Information Systems, or related fields
Work EnvironmentTech companies, research labs, educational institutionsCorporate, government, or consulting firms
Employer & Industry UsageUsed across tech, academia, and research sectorsPrimarily in business, finance, and healthcare sectors
Common Search & ComparisonOften compared for technical skills and data managementCompared for systems analysis and business process improvement

While both roles involve working with information and technology, Information Science Technology focuses on managing and analyzing data, developing systems, and supporting technological infrastructure. In contrast, Information Systems Analysts primarily analyze and improve organizational information systems to meet business needs. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What jobs can you get with an information science technology degree?

An information science technology degree prepares graduates for roles such as data analyst, systems analyst, database administrator, IT support specialist, and cybersecurity analyst. These jobs typically require skills in programming, data management, and familiarity with tools like SQL, Python, or network security protocols.

What cities in Missouri are hiring for Information Science Technology jobs?

Cities in Missouri with the most Information Science Technology job openings:

Infographic showing various Information Science Technology job openings in Missouri as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $108,096 per year, or $52 per hour.

IT Governance & Security Architect

Advantage Tech

Kansas City, MO • On-site

Full-time

Re-posted 14 days ago


Job description

The 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 an AI Governance & Security Architect, you will be responsible for developing and leading enterprise frameworks that ensure the ethical, secure, and compliant adoption of AI within the financial organization. You will bridge cybersecurity, risk management, and AI lifecycle governance to safeguard sensitive data and models against threats, while meeting regulatory obligations. You will also provide strategic leadership across IT, risk, compliance, and business functions to embed responsible AI practices, strengthen resilience against AI-specific risks, and enable innovation in a secure and controlled manner. 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)
How you will spend your time:
  • Define and implement enterprise-wide AI governance frameworks to ensure responsible, ethical, and compliant use of AI in financial operations.
  • Develop and enforce AI security standards aligned with regulatory requirements (e.g., FFIEC, OCC, GLBA, GDPR, ISO 42001, NIST AI RMF).
  • Partner with risk, compliance, and legal teams to create policies covering AI model lifecycle management, bias detection, explainability, and auditability.
  • Oversee secure AI/ML solution deployment in both on-premises and cloud environments (AWS, Azure, GCP), ensuring robust data protection and encryption practices.
  • Conduct AI security risk assessments, threat modeling, and red team testing for generative AI and predictive models.
  • Establish monitoring frameworks for AI systems to track drift, anomalies, and adversarial threats.
  • Provide architectural guidance on integrating AI platforms with existing banking systems (ACH, RTP, Wires, Core Banking, Payment Hubs).
  • Lead AI security incident response and ensure remediation processes meet financial regulatory standards.
  • Serve as a subject matter expert for internal stakeholders on AI governance, regulatory compliance, and ethical AI adoption.
  • Mentor junior architects and engineers in AI governance and cybersecurity best practices.

We are excited to talk if you have:
  • Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related field and at least 7 years of professional experience in enterprise architecture, information security, or technology governance in financial services, OR equivalent combination of education and work experience.
  • Proven track record of implementing governance frameworks, risk management strategies, and compliance programs for emerging technologies.
  • Familiarity with financial services regulations and security requirements.
  • Experience collaborating with auditors, regulators, and compliance teams.
  • Strong understanding of AI/ML lifecycle management, including model development, validation, deployment, and monitoring.
  • Knowledge of data governance principles, MDM (Golden Record, Canonical Models), and regulatory compliance in financial services.
  • Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex).
  • Familiarity with security frameworks (NIST, ISO 27001/42001, CIS Controls).
  • Ability to translate complex AI and security concepts into business-friendly language.

Bonus Points if you have:
  • Master's degree in Information Security, Artificial Intelligence, or related discipline.
  • At least 10 years of experience in financial services or regulated industries.
  • Demonstrated leadership in AI governance, cybersecurity, or enterprise architecture initiatives.
  • Certifications such as CISSP, CISM, ISO 42001 Lead Auditor, or Certified AI Governance Professional.
  • Experience presenting to executive leadership and regulators.
  • Hands-on experience with AI observability tools (e.g., Fiddler, Arize, MLflow).
  • Familiarity with secure federated learning, differential privacy, and adversarial ML defenses.
  • Experience leading cross-functional AI security initiatives in regulated industries.
  • Advanced knowledge of cryptography, data anonymization, and AI-driven fraud detection techniques.

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