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Vp Learning Development Jobs in Nevada (NOW HIRING)

Seminolehardrock

SVP, Player Development

Las Vegas, NV · On-site

The SVP, Player Development at Hard Rock Hotel and Casino Las Vegas, under the direction of the President and SVP of Gaming Operations, serves as the senior executive leader responsible for driving ...

GEODIS

VP Business Development

Las Vegas, NV

$175K - $225K/hr

Vice President of Business Development Who We Are: GEODIS specializes in unlocking business value in a complex world, ensuring seamless movement of goods worldwide. As a global third-party logistics ...

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All JobsVp Learning Development JobsVp Learning Development Jobs in Nevada

Vp Learning Development information

See Nevada salary details

$66.7K

$150.1K

$251K

How much do vp learning development jobs pay per year?

As of Jun 18, 2026, the average yearly pay for vp learning development in Nevada is $150,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $178,700.00 per year, depending on experience, location, and employer.

How does a VP of Learning and Development typically collaborate with other departments to align training initiatives with organizational goals?

A VP of Learning and Development works closely with leaders from HR, operations, and business units to identify skill gaps and align training programs with strategic objectives. This collaboration often involves regular meetings to understand departmental needs, sharing data on training outcomes, and jointly developing initiatives that support both employee growth and company performance. By fostering cross-functional partnerships, the VP ensures that learning solutions are relevant, effective, and integrated into the wider business strategy.

What are the key skills and qualifications needed to thrive as a VP Learning and Development, and why are they important?

To thrive as a VP Learning and Development, you need expertise in instructional design, talent management, and organizational development, usually backed by a relevant advanced degree and extensive leadership experience. Familiarity with learning management systems (LMS), e-learning platforms, and certifications like CPLP or SHRM-SCP is highly valued. Strategic vision, strong communication, and the ability to inspire and lead teams are outstanding soft skills for this role. These competencies are crucial for driving impactful learning initiatives that align with business goals and foster continuous employee growth.

What are VP Learning Development roles and responsibilities?

A VP of Learning and Development (L&D) oversees the strategy and execution of employee training, talent development, and organizational learning initiatives. They work closely with senior leadership to align learning programs with business goals, manage L&D teams, and analyze the effectiveness of training solutions. Their responsibilities often include developing leadership pipelines, implementing new learning technologies, and fostering a culture of continuous improvement across the organization.

What is the difference between Vp Learning Development vs Learning and Development Manager?

AspectVp Learning DevelopmentLearning and Development Manager
Required CredentialsBachelor's degree, often advanced certifications in L&D or HRBachelor's degree, relevant certifications in training or HR
Work EnvironmentStrategic leadership, executive-level collaborationOperational focus, team management
Employer & Industry UsageUsed in large corporations, corporate sectorsCommon across various industries, including corporate and non-profit
Search & Comparison IntentHigh overlap in responsibilities and credentialsOften compared for career progression

The Vp Learning Development typically holds a strategic, executive role focusing on organizational learning strategies, while the Learning and Development Manager handles day-to-day training operations and team management. Both roles require relevant certifications and are prevalent in corporate environments, but the Vp is more involved in high-level planning and decision-making.

What are the most commonly searched types of Learning Development jobs in Nevada? The most popular types of Learning Development jobs in Nevada are:
What are popular job titles related to Vp Learning Development jobs in Nevada? For Vp Learning Development jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Vp Learning Development jobs in Nevada look for? The top searched job categories for Vp Learning Development jobs in Nevada are:
What cities in Nevada are hiring for Vp Learning Development jobs? Cities in Nevada with the most Vp Learning Development job openings:
Vp Learning Development jobs near you
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Posted 20 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.  
 

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