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Vice President Signals Intelligence Jobs (NOW HIRING)

AVEM HEALTH PARTNERS

Vice President

Dallas, TX · On-site +1

The Vice President will work closely with the CEO and senior leadership team and will be considered ... High emotional intelligence and leadership maturity * Strategic thinking balanced with operational ...

AVEM HEALTH PARTNERS

Vice President

Oklahoma City, OK · On-site +1

The Vice President will work closely with the CEO and senior leadership team and will be considered ... High emotional intelligence and leadership maturity * Strategic thinking balanced with operational ...

AVEM BUSINESS SOLUTIONS LLC

Vice President

Dallas, TX

The Vice President will work closely with the CEO and senior leadership team and will be considered ... High emotional intelligence and leadership maturity * Strategic thinking balanced with operational ...

Concentra

VP, Artificial Intelligence

Addison, TX · On-site

The Vice President, Artificial Intelligence provides enterprise-wide leadership for Artificial Intelligence strategy, governance, and adoption across the organization. This role defines how AI is ...

Monitise

VP Cyber Threat Intelligence

Berkeley Heights, NJ

$163K - $205K/yr

Job Title VP Cyber Threat Intelligence About your role: As the VP Cyber Threat Intelligence in Fiserv's Cybersecurity Operations you will lead and mature our global, cyber threat intelligence ...

Viant Technology

VP, Finance

Irvine, CA · On-site

$215K - $260K/yr

WHAT YOU'LL DO The VP, Corporate Finance is a senior finance leader responsible for providing ... intelligence, household-level identity resolution, and person-level attention signals to connect ...

PHIflow, LLC

VP of Marketing

New York, NY

Vice President of Marketing About PHIflow PHIflow is a data and technology company combining artificial intelligence (AI) and healthcare regulatory expertise to accelerate contract review processes ...

orsa credit union

vp/business intelligence

Plymouth, MI · On-site

$144K/yr

Role Purpose The vp/impact intelligence leads the business intelligence team within the technology center of excellence, serving as the credit union's senior data strategist and the enterprise ...

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All JobsVice President Signals Intelligence Jobs

Vice President Signals Intelligence information

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$43.5K

$157.5K

$277.5K

How much do vice president signals intelligence jobs pay per year?

As of Jun 9, 2026, the average yearly pay for vice president signals intelligence in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Signals Intelligence vs Signals Intelligence Manager?

AspectVice President Signals IntelligenceSignals Intelligence Manager
Required CredentialsBachelor's degree, often advanced degrees, security clearancesBachelor's degree, relevant experience, security clearances
Work EnvironmentExecutive leadership, strategic planning, high-level decision makingTeam management, project oversight, operational coordination
Employer & Industry UsageGovernment agencies, defense contractors, intelligence firmsGovernment agencies, military, intelligence organizations
Common Search & ComparisonHigh-level strategic roles, leadership responsibilitiesOperational management, team leadership

The Vice President Signals Intelligence typically holds a senior leadership role focused on strategic planning and decision making within intelligence organizations. In contrast, the Signals Intelligence Manager oversees daily operations and manages teams executing intelligence tasks. Both roles require security clearances and relevant experience, but the VP is more involved in high-level strategy, while the manager focuses on operational execution.

What cities are hiring for Vice President Signals Intelligence jobs? Cities with the most Vice President Signals Intelligence job openings:
What are the most commonly searched types of Signals Intelligence jobs? The most popular types of Signals Intelligence jobs are:
What states have the most Vice President Signals Intelligence jobs? States with the most job openings for Vice President Signals Intelligence jobs include:
What job categories do people searching Vice President Signals Intelligence jobs look for? The top searched job categories for Vice President Signals Intelligence jobs are:
Vice President Signals Intelligence jobs near you
Infographic showing various Vice President Signals Intelligence job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 5% Part Time, and 8% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Artificial Intelligence (VP of AI)

CreditOne

Las Vegas, NV • On-site

Full-time

Posted 9 days ago

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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