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Vice President Learning Jobs in Nevada (NOW HIRING)

JOB SUMMARY As a VP Marketing & Sales at Marriott Vacations Worldwide (MVW), you will be ... Learning and Applying Personal Expertise * Applied Learning - Seeking and making the most of ...

Vice President, Data Science - Aristocrat

Las Vegas, NV · On-site

$189K - $351K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Vice President, Data Science defines and delivers Aristocrat's enterprise Data Science strategy ... Evaluate emerging Data Science, AI, and machine learning technologies, tools, and techniques, and ...

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a ...

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Vice President Learning information

What does a vice president learning do?

A Vice President of Learning is a senior executive responsible for leading an organization’s learning and development strategy. They oversee the design, implementation, and evaluation of training programs to support employee growth and organizational goals. This role involves collaborating with other leaders, managing learning teams, and ensuring that educational initiatives align with business objectives. The Vice President of Learning also keeps up with trends in adult education and technology to enhance learning outcomes.

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

To thrive as a Vice President of Learning, you need expertise in instructional design, adult learning principles, organizational development, and typically a relevant advanced degree such as an MBA or M.Ed. Familiarity with learning management systems (LMS), e-learning authoring tools, and data analytics platforms is crucial. Exceptional leadership, strategic thinking, and strong communication skills help drive successful learning initiatives and foster cross-functional collaboration. These competencies ensure the learning strategy aligns with organizational goals and delivers measurable impact.

What are some typical challenges faced by a vice president learning when implementing new training initiatives across a large organization?

A Vice President of Learning often encounters challenges such as aligning diverse stakeholder expectations, ensuring consistency in training quality across departments, and adapting content for various learning styles and geographic locations. Resistance to change from employees and limited resources can also impact the rollout of new initiatives. Successful leaders in this role proactively engage with department heads, leverage data-driven insights, and foster a culture of continuous learning to overcome these obstacles.

What is the difference between Vice President Learning vs Director of Learning?

AspectVice President LearningDirector of Learning
ResponsibilitiesStrategic planning, executive leadership, overseeing entire learning and development programsImplementing training initiatives, managing teams, executing learning strategies
Required CredentialsTypically requires advanced degrees and extensive experience in learning and developmentUsually requires relevant bachelor’s or master’s degree and experience in training roles
Work EnvironmentExecutive-level, corporate headquarters, cross-departmental collaborationOperational, training departments, closer interaction with staff and trainers

The Vice President Learning focuses on strategic leadership and overall direction of learning initiatives at an organizational level, while the Director of Learning handles the day-to-day management and execution of training programs. Both roles require relevant credentials and experience, but the VP role is more strategic and senior.

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

The most popular types of Learning jobs in Nevada are:

What are popular job titles related to Vice President Learning jobs in Nevada?

For Vice President Learning jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Vice President Learning jobs in Nevada look for?

The top searched job categories for Vice President Learning jobs in Nevada are:

What cities in Nevada are hiring for Vice President Learning jobs?

Cities in Nevada with the most Vice President Learning job openings:

Infographic showing various Vice President Learning job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 23 days ago


Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.