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Vp Tech Jobs in Nevada (NOW HIRING)

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Executive/HR/IT * Date Posted: 07/20/2026 About Us AGS is a global company focused on creating a ... The VP of Data & Analytics will also ensure the same metrics and reporting is used across different ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... Executive/HR/IT Date Posted: 07/20/2026 About Us AGS is a global company focused on creating a ...

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All JobsVp Tech JobsVp Tech Jobs in Nevada

Vp Tech information

What is a vp tech?

A VP Tech, or Vice President of Technology, is a senior executive responsible for overseeing a company's technology strategy, development, and implementation. They lead technical teams, collaborate with other departments, and ensure that technology initiatives align with overall business goals. VP Techs are often involved in decision-making regarding software, hardware, security, and innovation. Their role is crucial for companies that rely heavily on technology to drive growth and efficiency.

What are the key skills and qualifications needed to thrive as a VP of Technology?

To thrive as a VP of Technology, you need deep expertise in software engineering, IT infrastructure, and technology strategy, typically backed by a relevant degree and extensive leadership experience. Familiarity with cloud platforms (like AWS or Azure), enterprise architecture frameworks, and project management certifications (such as PMP or Agile) is highly valuable. Outstanding communication, strategic vision, and team leadership skills help drive innovation and collaboration across technical and business teams. These abilities are crucial for aligning technology initiatives with organizational goals and leading digital transformation effectively.

How does a VP of Technology typically collaborate with other departments to drive company objectives?

A VP of Technology works closely with leaders from product, marketing, operations, and executive teams to align technical initiatives with broader business goals. They often participate in cross-functional meetings, provide technical insights during strategic planning, and ensure that technology resources are allocated efficiently to support key projects. Effective collaboration involves translating complex technical concepts for non-technical stakeholders and fostering a culture of open communication between teams. This role is pivotal in bridging the gap between technology and business to drive innovation and company growth.

What is the difference between Vp Tech vs Software Development Manager?

AspectVp TechSoftware Development Manager
Required CredentialsBachelor's or higher in Computer Science, Engineering; often MBA or leadership certificationsBachelor's or higher in Computer Science, Engineering; management experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical guidance
Employer & Industry UsageTech companies, startups, large enterprisesSoftware firms, tech departments, IT divisions
Common Search & ComparisonVP Tech vs Software Development Manager

The Vp Tech typically holds a higher strategic and executive role, focusing on overall technology vision and leadership, while a Software Development Manager manages day-to-day project execution and team management. Both roles require technical expertise, but the Vp Tech emphasizes strategic oversight and cross-functional collaboration.

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

The most popular types of Tech jobs in Nevada are:

Vp Tech jobs near you
Infographic showing various Vp Tech job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 10% Part Time, 10% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Vice President II, Artificial Intelligence (VP of AI)

CreditOne

Las Vegas, NV • On-site

Full-time

Re-posted yesterday

Job description

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.

Preferred
Core AI Concepts and Technologies Required
Machine 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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