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Vice President Of Data Science Jobs (NOW HIRING)

BuyWander

VP of Data & AI

Spokane, WA · On-site

$185/hr

Description: VP of Data & AI Location: Seattle, WA (or Remote/Hybrid) Type: Full-Time | Leadership ... We are looking for a data "mad scientist" who is equal parts architect, quant, and business ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

We are the leading provider of innovative outdoor living products and utility infrastructure ... data science. * Foster an agile, outcome-focused culture that can rapidly adapt to changing ...

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 ...

CFS

VP of Accounting

Roxbury, MA · Hybrid

$160K - $180K/yr

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Title: VP of Accounting Salary: $160,000-$180,000 Why This Opportunity ...

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All JobsVice President Of Data Science Jobs

Vice President Of Data Science information

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$43.5K

$157.5K

$277.5K

How much do vice president of data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for vice president of data science 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 are the key skills and qualifications needed to thrive as a Vice President of Data Science, and why are they important?

To thrive as a Vice President of Data Science, you need advanced expertise in machine learning, statistics, data strategy, and leadership, typically supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with big data platforms (such as Hadoop, Spark), cloud solutions (AWS, Azure), and relevant programming languages (Python, R), as well as certifications in data science or cloud architecture, are commonly required. Exceptional communication, strategic thinking, and team management skills set top performers apart in this role. These abilities enable effective data-driven decision-making, innovation, and alignment of analytics initiatives with organizational goals.

What is the salary of data scientist associate vice president?

The salary of a Vice President of Data Science typically ranges from $150,000 to $250,000 annually, depending on the company, location, and experience. Senior roles often include bonuses, stock options, and other benefits, reflecting the leadership level and technical expertise required for the position.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

How much does a VP of data science make?

The salary for a Vice President of Data Science typically ranges from $150,000 to $250,000 annually, depending on experience, location, and company size. In large financial institutions like JP Morgan, compensation may also include bonuses and stock options, reflecting the seniority and strategic importance of the role.

How does a Vice President of Data Science typically collaborate with other executive leaders within an organization?

A Vice President of Data Science frequently partners with other executive leaders—such as the CTO, CIO, and business unit heads—to align data initiatives with broader organizational goals. This collaboration involves translating business challenges into data-driven solutions, setting strategic priorities, and ensuring that data science projects deliver measurable value. Regular communication, cross-functional meetings, and joint planning sessions are common, as the VP of Data Science is responsible for both advocating for advanced analytics and integrating insights into company-wide decision-making. Building strong relationships with other leaders is key to driving adoption and maximizing the impact of data science across the business.

What does a VP of data science do?

A Vice President of Data Science oversees the development and implementation of data strategies, manages data science teams, and collaborates with other departments to leverage data for business insights and decision-making. They often have expertise in machine learning, statistical analysis, and data management tools, and may be involved in setting data governance policies and ensuring project alignment with organizational goals.

What is the difference between Vice President Of Data Science vs Data Science Director?

AspectVice President Of Data ScienceData Science Director
ResponsibilitiesStrategic leadership, setting data science vision, executive decision-makingManaging data science teams, project oversight, implementing strategies
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience, leadership skillsSimilar credentials, focus on technical expertise and team management
Work EnvironmentExecutive-level, cross-department collaboration, high-level planningOperational, team-focused, project execution
Industry UsageCommon in large organizations, strategic rolesFound in mid-to-large companies, tactical roles

The Vice President Of Data Science focuses on strategic leadership and high-level decision-making, while the Data Science Director manages teams and executes data projects. Both roles require advanced education and experience, but the VP role is more executive-oriented, whereas the Director is more hands-on with daily operations.

What does a Vice President of Data Science do?

A Vice President of Data Science leads the strategy, development, and implementation of data science initiatives within an organization. They oversee teams of data scientists and analysts, manage large-scale data projects, and work closely with other executives to align data-driven insights with business goals. This role also involves setting best practices for data management, ensuring the quality of analytics outputs, and driving innovation through the use of advanced analytics and machine learning techniques.
What cities are hiring for Vice President Of Data Science jobs? Cities with the most Vice President Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Vice President Of Data Science jobs? States with the most job openings for Vice President Of Data Science jobs include:
Vice President Of Data Science jobs near you
Infographic showing various Vice President Of Data Science job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 22% Full Time, 68% Part Time, and 7% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Posted 16 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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