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Learning Manager Jobs in Iowa (NOW HIRING)

HyVee

Fast and Fresh Manager

Cedar Rapids, IA · On-site

$111K - $114K/yr

Fast & Fresh Manager Department: Fast & Fresh FLSA: Hourly Revision Date: 07/2026 About Hy-Vee At ... Provide prompt, friendly customer service by greeting customers with a smile, learning their names ...

Hy-Vee, Inc.

Fast and Fresh Manager

Cedar Rapids, IA · On-site

$111K - $114K/yr

Fast & Fresh Manager Department: Fast & Fresh FLSA: Hourly Revision Date: 07/2026 About Hy-Vee At ... Provide prompt, friendly customer service by greeting customers with a smile, learning their names ...

Keen Project Solutions LLC

BIM Manager

Ankeny, IA · On-site

$106K - $109K/yr

The BIM Manager must have a strong engineering background and a desire to improve content and workflows for design. They are responsible for setting standards for the use of Revit and associated ...

Hy-Vee, Inc.

Hy-Chi Manager

Iowa City, IA · On-site

$111K - $114K/yr

Hy-Chi Department Manager Department: Hy-Chi FLSA: Hourly Revision Date: 07/2026 About Hy-Vee At Hy-Vee, we believe the shortest distance between two people is a smile. We're seeking people with a ...

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Learning Manager information

See Iowa salary details

$29.1K

$72.7K

$122.1K

How much do learning manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for learning manager in Iowa is $72,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $82,200.00 per year, depending on experience, location, and employer.

What is a learning manager?

A learning manager creates training opportunities for employees who want to focus on skills development and job advancement. As a learning manager, your duties include assessing the needs of a company or organization, planning training programs, and working with third-party educators to meet the company’s needs. You may also assist employees seeking to change their career path. Qualifications for the job vary depending on employer needs, but you typically need a bachelor’s degree in human resources, business management, or a similar field and relevant work experience.

What is a learning manager?

A Learning Manager is a professional responsible for designing, implementing, and overseeing training and development programs within an organization. They assess learning needs, create educational materials, and ensure that employees have access to the resources required for professional growth. Learning Managers often collaborate with subject matter experts and use various technologies to deliver effective training. Their goal is to enhance workforce skills, improve performance, and support organizational objectives.

What are the main challenges learning managers face when implementing new training programs across multiple departments?

Learning Managers often encounter challenges such as aligning training content with diverse departmental needs, ensuring consistent participation, and measuring the effectiveness of programs across various teams. Coordinating with department heads to customize learning solutions, managing scheduling conflicts, and integrating feedback for continuous improvement are common aspects of the role. Success in this area requires strong communication, project management skills, and the ability to adapt training strategies to different learning styles and business objectives.

What are the key skills and qualifications needed to thrive as a learning manager, and why are they important?

To thrive as a Learning Manager, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, HR, or related fields. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and assessment platforms is typically required. Strong leadership, communication, and project management skills help Learning Managers effectively lead teams and engage stakeholders. These skills ensure the design and delivery of impactful learning programs that drive organizational growth and employee development.

What is the difference between Learning Manager vs Training Coordinator?

AspectLearning ManagerTraining Coordinator
CredentialsBachelor’s degree in Education, HR, or related field; often requires experience in learning and developmentBachelor’s degree in Business, Education, or related field; certifications like ATD or CPTD are common
Work EnvironmentOversees learning programs across departments, strategic planning, manages teamsCoordinates training sessions, schedules, and logistics, often works directly with trainers and employees
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for strategic learning initiativesCommon in corporate settings for organizing and implementing training activities

The Learning Manager focuses on developing and overseeing comprehensive learning strategies, while the Training Coordinator handles the logistics and execution of training sessions. Both roles are essential in employee development but differ in scope and responsibilities.

What degree do you need to be a learning manager?

A learning manager typically needs a bachelor's degree in education, human resources, business administration, or a related field. Many employers prefer candidates with a master's degree or relevant certifications in training and development, along with experience in instructional design or organizational learning.
More about Learning Manager jobs

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

The most popular types of Learning jobs in Iowa are:

What are popular job titles related to Learning Manager jobs in Iowa?

For Learning Manager jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Learning Manager jobs in Iowa look for?

The top searched job categories for Learning Manager jobs in Iowa are:

What cities in Iowa are hiring for Learning Manager jobs?

Cities in Iowa with the most Learning Manager job openings:

Learning Manager jobs near you
Infographic showing various Learning Manager job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $72,680 per year, or $34.9 per hour.

Manager of Machine Learning - AI Modeling and Operation

Workiva, Inc.

Ames, IA • On-site

Other

Retirement

Posted 19 days ago

Key responsibilities

  • Own the ML model lifecycle, including training pipelines, model registry, deployment, monitoring, and guardrails

  • Build and maintain CI/CD processes for ML, including automated testing, evaluation, and model promotion

  • Manage integrations with frontier model providers, including model routing, load balancing, and fallback strategies

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

Join our team at Workiva as an Manager of Machine Learning - AI Modeling and Operation! As a pivotal member of our AI/ML team, you'll own the infrastructure that makes every AI feature at Workiva reliable, observable, and deployable.

You will lead the team responsible for ML infrastructure, model operations, and AI quality at Workiva. Your team owns the systems that make AI reliable in production from model lifecycle management to evaluation frameworks, observability, and model routing across frontier providers. You'll build the operational backbone that every AI feature at Workiva depends on.

Join us if you want to own the infrastructure layer that makes enterprise AI work at scale, not just build demos. Discover more about Workiva's Generative AI.

What You'll Do

Operational Excellence

  • Own the ML model lifecycle: training pipelines, model registry, deployment, monitoring, and guardrails

  • Build and maintain CI/CD for ML - automated testing, evaluation, and promotion of models across environments

  • Drive observability across AI services: latency tracking, drift detection, cost monitoring, alerting

  • Establish SLOs/SLIs for AI services and lead incident response for ML-related production issues and maintain high service availability

  • Reduce complexity through simplification, automation, and thoughtful system design

Leadership & Team Management

  • Lead and grow an existing strong team of machine learning engineers

  • Provide hands-on coaching, performance feedback, and growth opportunities for engineers at varying experience levels

  • Foster a collaborative, inclusive, and high-ownership team culture grounded in trust, accountability, and continuous improvement

Cross Functional Collaboration

  • Partner with Intelligence pillar engineering squads (AGFW, AIEI, AIQG, Applied AI, Search) and Product teams to ensure AI services are production-ready, operationally sound, and observable

  • Communicate complex technical issues to both technical and non-technical audiences effectively

Technical Strategy & Execution

  • Manage integrations with frontier model providers (AWS Bedrock, Azure OpenAI, Google) including model routing, load balancing, and fallback strategies

  • Drive AI analytics dashboards that give leadership and product visibility into platform health and usage

  • Drive improvements in latency, service availability, developer experience, and integration usability across internal and external interfaces

  • Guide architectural decisions to ensure platform scalability, reliability, and alignment with Workiva's long-term technical vision

What You'll Need

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience

  • 7+ years of total experience in software engineering and/or Machine Learning, with at least 2 years of dedicated experience as an Engineering Manager

  • Experience with ML pipeline orchestration tools (ClearML, Kubeflow, Airflow, or similar)

  • Hands-on background with Kubernetes, microservices, container orchestration, and infrastructure-as-code

  • Track record of improving reliability/availability metrics for production ML systems

  • Proven ability to manage senior individual contributors, resolve technical conflicts, and build a culture of psychological safety and high performance

  • Solid leadership skills in an Agile/Sprint working environment

  • Experience operating production ML systems in cloud environments (AWS, Azure, or GCP)

Preferred Qualifications

  • Master's degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience

  • Experience with core concepts of Generative AI such as RAG, Agentic frameworks, etc

  • Experience building model evaluation or quality measurement systems

  • Familiarity with cost optimization for GPU/model serving workloads

  • Familiarity with observability tooling (Datadog, Prometheus, Grafana)

Working Conditions

  • Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests

  • Reliable internet access for remote working opportunities

How You'll Be Rewarded

Salary range in the US: $163,000.00 - $290,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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