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Master Degree In Computer Science Jobs in Kansas

Dairiconcepts, L.P.

AI Office Lead

Kansas City, KS · On-site

Undergraduate degree in Computer Science, Data Science, Information Systems, Business ... Master's degree with a focus on technology management or AI strategy, preferred * Experience ...

RadNet, Inc.

AI Office Lead

Kansas City, KS · On-site

$150 - $175/hr

Undergraduate degree in Computer Science, Data Science, Information Systems, Business ... Master's degree with a focus on technology management or AI strategy, preferred * Experience ...

Kansas Turnpike Authority

Computer Programmer

Wichita, KS · On-site

$32.49 - $39.52/hr

Bachelor's degree in computer science, information systems, technology or comparable work experience developing business applications. Physical requirements The physical demands described here are ...

Propio

AI Engineer II - Translation

Leawood, KS · On-site

Bachelor's or Master's degree in Computer Science, Computational Linguistics, Statistics, or related field. * Strong background in NLP and machine translation systems. * Proven experience optimizing ...

Clarivate

Cyber Security Engineer

Kansas City, KS

Bachelor's degree in computer science, related degree or relevant, equivalent work experience ... Master's degree in Cybersecurity, Information Security, or a related field. * Experience using ...

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Master Degree In Computer Science information

See Kansas salary details

$10

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How much do master degree in computer science jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for master degree in computer science in Kansas is $51.75, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $58.94 per hour, depending on experience, location, and employer.

What jobs can a master degree in computer science get you?

A master's degree in computer science qualifies individuals for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and research scientist. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

Is a master degree in computer science worth doing?

A master's degree in computer science can enhance job prospects, increase earning potential, and provide advanced skills in areas like algorithms, programming, and data analysis. It is often valued for roles in research, development, and specialized technical positions, but practical experience and certifications also play a significant role in career advancement.
Master Degree In Computer Science jobs near you

AI Office Lead

Dairy Farmers of America, Inc.

Kansas City, KS • On-site

Full-time

Re-posted 5 hours ago

Dairy Farmers Of America rating

7.2

Company rating: 7.2 out of 10

Based on 166 frontline employees who took The Breakroom Quiz

25th of 65 rated farming

Job description

Partner with business unit leaders to align, develop, and deliver the AI roadmap and strategy that supports the business. Support and/or lead the planning, implementation, adoption, and benefits realization for technology initiatives tied to the AI roadmap. Function as the main point of contact between IT and the assigned business units (e.g., commercial manufacturing, corporate functions, milk marketing).
Job Duties and Responsibilities
  • Lead the development of the AI technology roadmap, leveraging the enterprise technology governance model
  • Establish clear goals and success measures for the AI office, ensuring all AI initiatives are tied to business value and organizational priorities
  • Own the AI operating model - continually refine processes, roles, and standards for the AI initiative lifecycle (from Ideation/Intake to Proof-of-Concept, Pilot, and Production), to enable scalable, efficient, and compliant AI deployment across the enterprise
  • Facilitate strong communication and alignment with the AI Steering Committee, providing updates on portfolio progress, risk and compliance, and key decisions needed
  • Lead AI strategic and operational planning to achieve business goals by ensuring benefits realization and business adoption of new and existing IT business technology
  • Participate in strategic and operational governance processes
  • Lead the prioritization of AI initiatives and coordinate deployment
  • Develop a power user network within the business unit to ensure to develop the knowledge of business processes and business technology within business unit
  • Work with business leaders to define business requirements for business technology initiatives
  • Work with business leaders to develop business cases for the implementation of new and existing technologies
  • Drive continuous improvement in AI office operations and outcome
  • Keep current with trends and issues in the AI industry, including current technologies and prices
  • Assess and communicate risks associated with AI investments
  • Develop and manage operational budgets
  • Work with IT shared service leadership to identify opportunities for the appropriate and cost-effective investment of financial resources in IT systems and resources, including staffing, sourcing, purchasing, and in-house development
  • Work with IT shared services leadership to ensure IT system operations adhere to applicable laws and regulations for business unit
  • The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required

  • Undergraduate degree in Computer Science, Data Science, Information Systems, Business Administration, or related field (or advanced technical education)
  • 10+ years of IT experience, including 4+ years in leadership roles driving complex, cross-functional programs or technology initiatives
  • Strong background in data science, AI/ML implementation, digital product management, or related field
  • Demonstrated success in strategic planning, program governance, and organizational change management at enterprise scale
  • Experience with budget management, vendor management, and delivering measurable business outcomes through technology projects
  • Deep understanding of emerging AI technologies and enterprise digital transformation Undergraduate degree in in computer science, information technology, or related curriculum (or equivalent combination of experience and education)
  • Master's degree with a focus on technology management or AI strategy, preferred
  • Experience standing up or leading an "AI Center of Excellence" or similar innovation office, preferred
  • Formal certifications in AI/ML, Project/Program Management (e.g., PMP), or IT Governance (e.g., ITIL, CDO), preferred
  • Understanding of the dairy or food manufacturing industry's processes and opportunities for AI, preferred
  • Knowledge of AI industry trends, best practices, and regulations (AI ethics, privacy, compliance) to ensure informed leadership and appropriate risk management
  • Strategy and execution skills; able to think big-picture about the future of AI and its role in achieving DFA's strategic goals; able follow through with detailed operational plans
  • Strong analytical and critical thinking skills to make recommendations and/or decisions on ambiguous or unprecedented challenges
  • Strong project management skills
  • Able to make tough calls on use-case prioritization, funding, or project pivots based on evidence / strategic fit
  • Exceptional communicator with executive presence; able to effectively present complex ideas to executive audiences and to tailor messaging for diverse stakeholders (business, technical, operations)
  • Strong influencing skills; able to navigate organizational dynamics and drive consensus on priority AI initiatives
  • Able to build collaborative internal and external relationships to further DFA's AI objectives
  • Able to champion diversity of thought and continuous learning, ensuring the team remains at the forefront of AI best practices
  • Able to lead the organization through new ways of working introduced by AI
  • Able to uphold the highest standards of governance, data privacy, and model safety, reinforcing the organization's reputation in AI usage
  • Able to understand business requirements and utilize IT knowledge to offer solutions and alternatives to business issues
  • Able to articulate complex technical issues in language that is understandable to non-IT business users and executives. Able to summarize and present recommendations in a concise format
  • Self-motivated and results-oriented, with proven proclivity for action; able to translate broad general strategies to actionable items; able to balance careful planning and preparation with continuous progress towards completion of goals
  • Able to travel 1-2 times a month

An Equal Opportunity Employer including Disabled/Veterans

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