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Director Data Management Jobs in Kansas (NOW HIRING)

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development ... Mentor senior engineers and engineering managers; build a deliberate pipeline of technical leaders ...

Altasciences

Senior Lead Data Manager

Overland Park, KS · On-site +1

Provide input into improving the efficiency of data management tasks. * Lead and participate in intradepartmental or interdepartmental process and quality improvement initiatives. * Oversee direct ...

AllSTEM Connections

Data Architect

Topeka, KS · On-site

$73K - $95K/yr

We are seeking an experienced Lead Data Architect to oversee our data collection, design, and ... Direct experience with SQL Database and SQL Management Studio . * Technical Stack: * Proficiency in ...

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All JobsData Management JobsDirector Data Management JobsDirector Data Management Jobs in Kansas

Director Data Management information

See Kansas salary details

$48.2K

$138.1K

$217.6K

How much do director data management jobs pay per year?

As of Jul 26, 2026, the average yearly pay for director data management in Kansas is $138,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $169,000.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager varies depending on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior data managers with specialized skills in data governance and tools like SQL or Python may earn higher compensation.

How much does a data director make in the US?

A Data Director in the US typically earns between $120,000 and $180,000 annually, depending on experience, industry, and location. Senior roles with extensive expertise in data management, analytics, and leadership can exceed this range, often including bonuses and benefits.

What are the key skills and qualifications needed to thrive as a Director of Data Management, and why are they important?

To thrive as a Director of Data Management, you need extensive experience in data governance, database architecture, and analytics, usually backed by a relevant degree and progressive leadership roles. Familiarity with enterprise data management tools (such as Informatica or Collibra), advanced SQL, and data privacy regulations is crucial, and certifications like CDMP can be advantageous. Strong leadership, strategic thinking, and effective communication enable you to guide teams and align data initiatives with business objectives. These competencies ensure data integrity, compliance, and the delivery of valuable insights that drive organizational success.

What are the 5 pillars of data management?

The five pillars of data management are data quality, data governance, data architecture, data security, and data integration. For a Director of Data Management, understanding these pillars is essential to ensure accurate, secure, and accessible data across an organization, often supported by tools like data catalogs and master data management systems.

What Does a Director of Data Management Do?

As a director of data management, your responsibilities include all operational and strategic aspects of data management, especially regarding product development and decision-making. You monitor a team and handle data management to develop, implement, and complete projects while ensuring a high level of data quality based on regulatory standards. You also manage resources and the budget, lead the development of Product Lifecycle Management (PLM) roadmaps, and develop dashboards and metrics to show the status of data governance and quality. You are also expected to oversee the collection of information into the business data warehouse, build analytic solutions using various big data techniques and tools, and document these solutions and the technical data architecture. Other duties include providing guidance using best industry practices, working with many client databases, and interpreting flag codes.

What are some common challenges faced by a Director of Data Management when implementing data governance frameworks?

A Director of Data Management often encounters challenges such as securing buy-in from stakeholders across various departments, integrating disparate data sources, and ensuring consistent data quality and compliance with regulatory requirements. Balancing the need for robust security with accessibility for business users can also be complex. Addressing these challenges requires strong communication skills, a clear data strategy, and effective collaboration with IT, legal, and business teams.

What is the difference between Director Data Management vs Data Analyst?

AspectDirector Data ManagementData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often with leadership experienceBachelor's in Statistics, Data Science, or related field; often entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing data teams, managing data governanceData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageUsed in large corporations, tech, finance, healthcareCommon across industries for data-driven roles

The main difference is that a Director Data Management focuses on strategic oversight, data governance, and leading data teams, while a Data Analyst primarily handles data analysis, reporting, and supporting business decisions. The Director role involves higher-level management and planning, whereas Data Analysts execute specific data tasks.

What is a Director of Data Management?

A Director of Data Management is a senior leader responsible for overseeing an organization's data strategy, governance, and operations. They ensure that data is collected, stored, and used efficiently and securely to support business objectives. This role often involves managing a team, setting data policies, ensuring compliance with regulations, and working with other departments to leverage data for decision-making and innovation.

What does a director of data management do?

A director of data management oversees an organization’s data strategy, ensuring data quality, security, and compliance. They lead teams responsible for data governance, implement data management tools, and collaborate with other departments to support data-driven decision-making.
More about Director Data Management jobs
What are the most commonly searched types of Data Management jobs in Kansas? The most popular types of Data Management jobs in Kansas are:
What are popular job titles related to Director Data Management jobs in Kansas? For Director Data Management jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Director Data Management jobs in Kansas look for? The top searched job categories for Director Data Management jobs in Kansas are:
What cities in Kansas are hiring for Director Data Management jobs? Cities in Kansas with the most Director Data Management job openings:
Director Data Management jobs near you
Infographic showing various Director Data Management job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $138,123 per year, or $66.4 per hour.
Director, AI & Data Transformation - Workforce Health Solutions

Director, AI & Data Transformation - Workforce Health Solutions

Quest Diagnostics

Lenexa, KS • On-site

Full-time

Posted 13 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

98th 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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