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Vice President Ai Strategy Jobs (NOW HIRING)

Pacvue

OR · On-site

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Pacvue

VP, AI Strategy & Delivery

Chicago, IL · On-site

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Pacvue

VP, AI Strategy & Delivery

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Pacvue

VP, AI Strategy & Delivery

Seattle, WA

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Pacvue

VP, AI Strategy & Delivery

Los Angeles, CA

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Pacvue

VP, AI Strategy & Delivery

New York, NY · On-site

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

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Vice President Ai Strategy information

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$43.5K

$157.5K

$277.5K

How much do vice president ai strategy jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vice president ai strategy 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 Ai Strategy vs Data Science Director?

AspectVice President Ai StrategyData Science Director
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; extensive leadership experienceMaster's or PhD in Data Science, Statistics, or related fields; strong technical background
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level decision makingTechnical project management, team leadership, hands-on data analysis
Employer & Industry UsageUsed in tech companies, large enterprises focusing on AI integrationCommon in tech firms, research institutions, and data-driven organizations
Search & Comparison IntentUnderstanding executive AI roles, strategic responsibilitiesTechnical leadership, data project management

The Vice President Ai Strategy focuses on high-level AI strategy, business integration, and leadership, while the Data Science Director emphasizes technical oversight, data analysis, and project execution. Both roles require advanced degrees and leadership skills but differ in scope and focus within organizations.

What cities are hiring for Vice President Ai Strategy jobs? Cities with the most Vice President Ai Strategy job openings:
What are the most commonly searched types of Ai Strategy jobs? The most popular types of Ai Strategy jobs are:
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Vice President Ai Strategy jobs near you
Infographic showing various Vice President Ai Strategy job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP, AI Strategy & Solutions

Security Service FCU

San Antonio, TX • On-site

Full-time

Re-posted 13 hours ago

Job description

VP of AI Strategy & Solutions serves as the chief architect of our data-driven vision, demonstrating a deep understanding of strategic planning, our current AI models, and the multiple products of artificial intelligence that are most impactful to financial institutions. Reporting directly to the SVP, Enterprise Technology Solutions, you will be entrusted with developing, scaling, and continuously refining our AI strategy, ensuring it leverages our existing tools and technologies while aligning with organizational priorities and values. This role will be instrumental in transitioning our $14 billion institution toward a proactive, AI-integrated enterprise focused on high member engagement and operational excellence. The role strategically defines, establishes, and leads an AI-focused operating unit, providing strategic guidance on the AI roadmap, AI compliance, enterprise priorities, solution deployments, technical architectures, and the maturation of our data ecosystem. Leverages existing AI products, models and technologies-including but not limited to Generative AI, CoPilot Agent solutions, Robotic Process Automation, Machine Learning, predictive lending models, and intelligent fraud prevention systems-to drive measurable value for the credit union and its members. Creates and implements enterprise wide policies for ethical and secure AI use, ensuring all initiatives are contained, controlled, and in harmony with our brand reputation and risk tolerance. The VP maintains the ability to reassess and retract AI initiatives if they prove overly aggressive or misaligned with SSFCU's values, consistently safeguarding the integrity and trust of our institution.

AI Roadmap & Governance: Champions, designs and executes a multi-year AI strategy that prioritizes high-impact use cases (e.g., hyper-personalized member marketing, real-time fraud detection, and automated credit decisioning), Collaborates with internal departments and works within the credit union overarching AI Risk and Governance program. Establishes and enforces organization-wide policies for ethical and secure AI adoption, making sure all initiatives are controlled, well-contained, and reflect the credit union's risk tolerance.

Data Ecosystem Leadership: Oversees the modernization of data repository architectures, ensuring our data is secure, clean, accessible, and robust to fuel selected AI capabilities and solutions.

Operational Innovation: Partners with business unit leaders (e.g., Lending, Retail, Risk Management) to identify friction points that can be solved through automation and AI, driving a lower Efficiency Ratio across the organization.

Vendor & FinTech Integration: Evaluates and manages relationships with AI service providers and FinTech partners to accelerate our speed-to-market for valuable new intelligent solutions, functions and features.

Financial Services Expertise: 7+ years of leadership in Data Science, AI, or Digital Transformation within a regulated financial environment. Proven Track Record: Experience taking AI/ML models from a "proof of concept" to full-scale production in a multi-channel environment. Educational Foundation: MBA with a technical focus or an advanced degree in Data Science, Computer Science, Mathematics or a related field is preferred.

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