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Ai Data Analytics Jobs in Kansas (NOW HIRING)

Scopely

Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported ...

Propio

Vice President of Talent Acquisition

Leawood, KS · On-site

... data analytics to improve candidate quality. * Employer Branding: Elevate Propio's employe value proposition to attract top-tier global talent in highly competitive fields like engineering, data, AI ...

Accenture

Data Protection Consultant

Overland Park, KS

$112K - $133K/yr

Perform threat mapping and gap analysis across structured, unstructured, cloud, and on-premises ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Avanade

Data Protection Consultant

Overland Park, KS · On-site

$112K - $133K/yr

... analysis across structured, unstructured, cloud, and on-premises data. • Facilitate client ... for emerging AI and agentic AI security considerations (e.g., Security Copilot). Skills and ...

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How much do ai data analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for ai data analytics in Kansas is $48.83, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $55.29 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance 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.

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 the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

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.

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 does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
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What cities in Kansas are hiring for Ai Data Analytics jobs? Cities in Kansas with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $101,558 per year, or $48.8 per hour.

Director, AI & Data Transformation - Workforce Health Solutions

Quest Diagnostics

Lenexa, KS • On-site

Full-time

Posted 16 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories

Job description


The Director, AI & Data Transformation will be a key senior leader at Quest Workforce Health Solutions, responsible for defining and executing strategy for Artificial Intelligence (AI) and Automation. We are seeking a visionary leader with a proven track record of building high-performing technical teams and leveraging automation to enhance operational capabilities, empower employees, and create new business value. This pivotal role will champion the adoption of AI to augment our products, optimize workflows, and secure a sustainable competitive advantage.
Responsibilities
Strategic Leadership & Value Creation:
  • Develop and execute a comprehensive, multi-year AI and automation strategy that aligns with business objectives. Define and track key performance indicators (KPIs) to measure business impact and demonstrate the value created from all initiatives.

Team Leadership & Development:
  • Recruit, build, and mentor a team of AI, data, and automation specialists. Foster a culture of innovation, continuous learning, and collaboration focused on delivering impactful results.

Opportunity Identification & Enablement:
  • Partner with business leaders to identify high-impact use cases for AI and automation. Lead initiatives to optimize internal processes and workflows, driving internal efficiency and enabling our teams to focus on higher-value work, applying Lean methodologies and principles where applicable.

Technical Oversight & Execution:
  • Oversee the entire lifecycle of AI and automation projects-from ideation and prototyping to deployment and optimization. Architect and manage a scalable and secure AI infrastructure and provide hands-on guidance on the implementation of solutions like predictive models, LLMs, and large-scale automation systems.

Governance, Risk & Ethics:
  • In partnership with enterprise SMEs, establish a robust governance framework for all AI/Automation projects that aligns processes for key use cases (e.g., PHI/PII), ensuring clear prioritization, resource allocation, and risk assessment. Ensure all deployments adhere to the highest ethical guidelines and data privacy regulations, actively working to mitigate bias and operational risks.

Change Management & Communication:
  • Drive organizational change management to promote the understanding and adoption of AI solutions. Effectively communicate complex technical concepts and the value of AI initiatives to stakeholders at all levels, including the executive leadership team.

Qualifications
Required Work Experience:
  • A minimum of 3-5 years of experience in artificial intelligence, machine learning, or data science.
  • At least 5 years in a leadership role with demonstrated success in building, managing, and retaining high-performing technical teams.
  • A proven track record of developing and deploying AI-powered solutions and automation strategies that have delivered measurable business value, unlocked new opportunities, and demonstrated a clear return on investment (ROI).
  • Demonstrated proficiency with Microsoft Office suite of products, particularly Power Point, Word and Excel. Alteryx and SQL proficiency is a plus.

Preferred Work Experience:
  • Experience with Data Analytics and RPA Platforms: Hands-on experience with data analytics and ETL tools (e.g., Alteryx, SAS), business intelligence software (e.g., Tableau, Power BI), and Robotic Process Automation (RPA) platforms (e.g., UiPath, Automation Anywhere, Blue Prism)
  • Strong experience with big data technologies, MLOps practices, and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience managing multiple simultaneous projects and the flow of information across multiple work groups.
  • Project management experience highly desired.
  • Experience in a regulated industry (e.g., healthcare, finance) is highly desirable.

Knowledge:
  • Deep expertise in AI/ML fundamentals, including machine learning algorithms, deep learning, natural language processing (NLP), and generative AI (e.g., LLMs).

Skills:
  • Ability to prepare and persuasively present clear and concise written communications, both in report and presentation formats.
  • Ability to make presentations in person clearly and effectively to large and small groups, including senior business leadership team and clients.
  • Ability to multi-task, use analytical skills, follow verbal or written instructions, think analytically, effectively use written and verbal communication skills, concentrate on tasks, make decisions and adjust to change quickly.

People Leader Responsibility:
  • Lead a team of direct and indirect reports

Work Environment:
  • Remote in U.S.

Education:
  • BS/BA in business, computer science or data science (Required)
  • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related technical field is required. (Preferred)

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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