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Ai Data Analytics Jobs in Kansas (NOW HIRING)

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 ...

Stripe

$132K/yr

Experience marketing to technical audiences such as data engineers, analytics engineers, or developers. * Power user (and builder) of AI-powered tooling.

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

... to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II ... partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders ...

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How much do ai data analytics jobs pay per hour?

As of Aug 19, 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 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 skills and qualifications are needed to thrive as an AI data analyst?

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 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.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

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 to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Kansas?

For Ai Data Analytics jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Kansas look for?

The top searched job categories for Ai Data Analytics jobs in Kansas are:

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,558 per year, or $48.8 per hour.

Vice President of Talent Acquisition

Propio

Leawood, KS • On-site

Full-time

Posted 25 days ago

Propio rating

6.1

Company rating: 6.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

373rd of 492 rated business services

Job description

Description:

Position Summary

The Vice President of Talent Acquisition at Propio leads the company’s “Dream Team” strategy, building world-class talent pipelines that support aggressive growth and long-term business success. This role partners closely with senior leadership to align talent acquisition with organizational objectives and market demands. Responsible for global recruiting operations, employer branding, talent intelligence, and hiring innovation, the VP creates scalable, data-driven processes that attract exceptional talent across all functions while fostering a diverse, high-performing workforce and an outstanding candidate experience.


Key Responsibilities

  • Strategic Leadership: Translate long-term business objectives into global talent acquisition strategies, ensuring scalable hiring processes for AI, data, engineering, and corporate divisions.
  • Executive Partnership: Advise Senior Leaders on talent market trends, organizational design, and workforce planning.
  • The Keeper Test: Coach hiring managers on maintaining high talent density and constantly evaluating the team so that every role is filled by a high performer.
  • Market Intelligence: Continuously analyze the market to structure top-of-market compensation packages to attract and retain elite industry professionals.
  • Operational Excellence: Optimize Applicant Tracking Systems (ATS), recruiting operations, and 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, and.
  • Team Development: Build, mentor, and scale a high-performing global recruiting organization capable of delivering exceptional hiring outcomes across executive, professional, and high-volume talent segments.
Requirements:
  • Experience: Progressive talent acquisition experience, ideally in a fast-paced tech, data, or AI company, with multiple years in a senior leadership role.
  • Business Acumen: Ability to view talent strategy through a financial and business lens rather than a traditional administrative one.
  • Data-Driven Mindset: Deep understanding of recruiting analytics, workforce planning, and market mapping to present actionable insights.
  • Domain Expertise: Demonstrated success scaling both deep technical and aggressive Go-To-Market teams.
  • Communication: Exceptional communication and candor to challenge leadership and drive engagement.

What Propio employees say

Pay

Benefits

Hours and flexibility

Workplace

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