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Director Machine Learning Jobs in Kansas (NOW HIRING)

Overstory

This is a great opportunity for someone who is energized by open scientific questions with direct ... Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

... direct authority. Things we consider a plus: * Experience with Azure AI services or integrating AI/ML workloads into cloud infrastructure (Azure OpenAI, Azure Machine Learning, Azure Cognitive ...

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Director Machine Learning information

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How much do director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director machine learning in Kansas is $81,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Kansas?

The most popular types of Machine Learning jobs in Kansas are:

What are popular job titles related to Director Machine Learning jobs in Kansas?

For Director Machine Learning jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Kansas look for?

The top searched job categories for Director Machine Learning jobs in Kansas are:

What cities in Kansas are hiring for Director Machine Learning jobs?

Cities in Kansas with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,990 per year, or $39.4 per hour.

Head of National Contact Center

Lenexa, KS • On-site

CommunityAmerica Credit Union
501 - 1,000 employees
Learn more about CommunityAmerica Credit Unionexternal

$200 - $250/hr

Other

Posted 4 days ago

CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Summary

The Head of National Contact Center provides strategic leadership for the credit union's contact center operations, member service experience, and workforce performance. This role is responsible for developing and executing service strategies that drive member satisfaction, operational efficiency, and business growth while leveraging advanced technologies to enhance service delivery. The Vice President oversees contact center technology, performance analytics, workforce optimization, and talent development, ensuring a high-performing team that delivers exceptional member experiences across all channels

Duties & Responsibilities

Strategic Leadership & Member Experience

  • Develop and execute a multi-year Member Service Center strategy aligned with organizational goals, growth objectives, and member experience priorities.
  • Create and implement innovative service delivery models that enhance member engagement while improving efficiency, consistency, and scalability.
  • Partner with executive leadership to define the future state of member interactions across voice, chat, AI-assisted, digital, and self-service channels.
  • Champion a culture of service excellence that strengthens member loyalty, improves retention, and enhances the organization's brand and reputation.
  • Lead organizational change initiatives impacting member service operations and employee experience.

Contact Center Operations & Technology

  • Provide oversight for all contact center operations, workforce planning, service delivery, quality management, and performance optimization.
  • Identify, evaluate, and implement emerging technologies, including artificial intelligence, machine learning, conversational AI, automation, and agent-assist technologies to improve service delivery and operational efficiency.
  • Develop AI-driven strategies that reduce call volume, improve first-contact resolution, enhance self-service capabilities, and elevate the employee and member experience.
  • Lead the workforce and cultural transition associated with AI and automation adoption, ensuring employees are supported and engaged as service shifts to digital-first channels.
  • Lead platform optimization initiatives that improve routing strategies, workforce management, call handling efficiency, quality monitoring, forecasting accuracy, and member satisfaction.
  • Ensure effective business continuity, disaster recovery, and operational resilience plans are maintained and tested regularly.
  • Establish and monitor key performance indicators that support exceptional member experiences and operational effectiveness.
  • Utilize advanced analytics and reporting tools to identify trends, uncover service opportunities, and drive continuous improvement.
  • Ensure sound risk management practices and compliance with all regulatory and organizational requirements.

Leadership & Talent Development

  • Build, lead, and develop a high-performing leadership team capable of supporting a growing and evolving member service operation.
  • Foster an environment of accountability, collaboration, innovation, continuous learning, and professional development.
  • Establish clear performance expectations and provide coaching, feedback, and development opportunities for leaders and team members.
  • Maintain a visible, hands-on presence in day-to-day operations, partnering directly with frontline leaders and stepping in on escalations and high-impact issues.
Requirements

Education and Experience Requirements:

  • Bachelor's degree in Business Administration, Finance, Management, or a related field required.
  • Minimum of ten (10) years of progressive leadership experience in contact center, member service, banking, financial services, or related operational environments.
  • Minimum of five (5) years leading multiple levels of leadership within a large-scale, multi-state contact center operation.
  • Experience leading nationwide contact center operations, supporting members across multiple time zones and markets.
  • Experience managing enterprise contact center platforms such as Five9 or equivalent technologies.

Required Knowledge, Skills and Abilities:

  • Deep knowledge of modern contact center operations, workforce management, quality assurance, and member experience best practices.
  • Proven ability to leverage artificial intelligence, automation, and emerging technologies to improve business outcomes.
  • Advanced analytical and financial acumen with the ability to translate complex data into strategic recommendations.
  • Exceptional leadership, coaching, and team development skills.
  • Strong interpersonal skills with a demonstrated ability to build trust with frontline staff and navigate difficult conversations directly.
  • Strong knowledge of contact center technologies, cloud platforms, CRM systems, workforce management systems, and performance analytics tools.
  • Ability to lead large-scale transformation initiatives while maintaining operational excellence.
  • Excellent executive presence, communication, presentation, and influencing skills.
  • Demonstrated ability to build strong partnerships across business functions and lead through change.
  • Strong business judgment, problem-solving, and decision-making capabilities.
  • Ability to manage multiple priorities in a fast-paced and evolving environment.
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