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Manager Data Scientist Jobs in Kansas (NOW HIRING)

Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field * 5-7 years of experience in data governance ...

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Wetland Scientist This role focuses on delineating wetlands and other water resources, conducting ... Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ...

Manage ETL processes to ensure smooth data flow across systems. * Apply best practices in ... Work closely with internal teams, data scientists, analysts, and stakeholders to understand data ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with analysts and scientists to understand data requirements and deliver solutions. Contribute to the ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with analysts and scientists to understand data requirements and deliver solutions. Contribute to the ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with analysts and scientists to understand data requirements and deliver solutions. Contribute to the ...

Data Engineer II-IT

Wichita, KS · On-site

$113K - $135K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with analysts and scientists to understand data requirements and deliver solutions. Contribute to the ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

... Manage data in both on-premises and cloud environments (Azure, AWS, etc.). • Collaborate with analysts and scientists to understand data requirements and deliver solutions. • Contribute to the ...

Senior Wetland Scientist

Overland Park, KS · On-site

$89K - $121K/yr

Prepare and manage data, reports, and tables for client and agency submission. * Utilize GPS and ... Bachelor's degree in environmental science, ecology, botany, soil science, or a related field. * 5 ...

Senior Wetland Scientist

Kansas City, KS · On-site

$86K - $118K/yr

Prepare and manage data, reports, and tables for client and agency submission. * Utilize GPS and ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

Senior Wetland Scientist

Wichita, KS · On-site

$81K - $111K/yr

Prepare and manage data, reports, and tables for client and agency submission. * Utilize GPS and ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

Senior Wetland Scientist

Overland Park, KS · On-site

$86K - $117K/yr

Prepare and manage data, reports, and tables for client and agency submission. * Utilize GPS and ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for ...

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for ...

Showing results 41-60

Manager Data Scientist information

See Kansas salary details

$41K

$147.2K

$217.2K

How much do manager data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data scientist in Kansas is $147,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Kansas?

The most popular types of Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Manager Data Scientist jobs?

Cities in Kansas with the most Manager Data Scientist job openings:

Infographic showing various Manager Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $147,171 per year, or $70.8 per hour.

Senior Data Governance Analyst

Security Benefit

Overland Park, KS • On-site

$110 - $160/hr

Other

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Description

Posted Monday, July 13, 2026 at 6:00 AM

We're Looking for an experienced Senior Data Governance Analyst — Unstructured Data & AI Readiness!

About the Company: Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. As part of our team, you’ll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.

We’re proud to have been recognized as one of the best in the business:

  • Named to Ward’s 50 list of top-performing life-health insurance companies
  • Recognized on list of Ingram’s Top 100 Private Companies in the Kansas City area in 2024

About the Role: As a Senior Data Governance Analyst — Unstructured Data & AI Readiness you will serve as a recognized subject matter expert on Security Benefit’s Data Governance team, owning the operationalization of governance practices for unstructured content — including documents, email, collaboration platforms, and cloud repositories. You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval-Augmented Generation (RAG) use cases, while driving Information Lifecycle Management (ILM) program execution across the organization. This role sits at the intersection of traditional records and retention governance and next‑generation AI readiness, making it a critical enabler of Security Benefit’s data strategy and its $60 billion asset management mission.

This role reports to the AVP, Data Strategy & Enablement and sits within the Data Governance chapter, providing governance services and standards across Agile Product Teams. It can be performed remotely or in a hybrid capacity from our Topeka or Overland Park, Kansas offices.

  • Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, OneDrive, and other enterprise content stores — supporting Data Owners and Stewards in classifying, sensitivity‑labeling, and retention‑tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
  • Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
  • Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal’s direction
  • Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
  • Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
  • Serve as governance SME for Security Benefit’s FSx-to-SharePoint migration initiative, ensuring governance standards — site architecture, content taxonomy, sensitivity labeling, and retention controls — are designed into the platform from the ground up
  • Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
  • Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
  • Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
  • Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices

What We’re Looking For:

  • Bachelor’s degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field
  • 5–7 years of experience in data governance, information management, records management, data operations, or a closely related discipline
  • Working knowledge of unstructured data governance concepts including metadata management, content classification, sensitivity labeling, information lifecycle management, legal hold, and records retention
  • Hands‑on experience with one or more enterprise content platforms: SharePoint Online, OneDrive, Slack, or comparable cloud content repositories
  • Demonstrated SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; experience supporting SharePoint migrations from on‑premises or legacy file share environments (e.g., FSx) strongly preferred
  • Familiarity with Microsoft Purview (or predecessor tools: Azure Information Protection, MIP) for sensitivity labeling and compliance management; willingness to develop deep proficiency required
  • Automation‑first orientation: evaluates AI/ML‑assisted and platform‑native automation options (e.g., Purview auto‑labeling, SharePoint Syntex, Power Automate) before recommending manual processes
  • Exposure to data catalog or metadata management tooling (e.g., Collibra, Alation, Informatica, or similar); willingness to develop proficiency in Security Benefit’s selected platform required
  • Strong analytical and problem‑solving skills; comfortable operating in ambiguous, fast‑moving environments with competing priorities
  • Strong written and verbal communication skills; proven ability to translate complex governance concepts for both technical and non‑technical audiences
  • Understanding of AI/ML governance concepts, including data readiness for RAG architectures, is a meaningful differentiator
  • Experience in financial services or a regulated data environment preferred; familiarity with SQL, Python, or scripting for data profiling and quality validation a plus

Why Choose Security Benefit?

  • Competitive salary and annual incentive bonuses to reward your contributions.
  • 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
  • Paid parental leave after 90 days of service.
  • 401(k) with company match, plus Profit Sharing & Savings Plan.
  • Short- and Long-Term Disability Insurance to give you peace of mind.
  • Flexible Spending Accounts for medical and dependent care.
  • Life Insurance to protect your loved ones.
  • Educational assistance to support your career development.
  • Associate assistance programs for your personal and professional well‑being.

Security Benefit is an Equal Opportunity Employer.

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