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Assistant Ai Strategy Jobs (NOW HIRING)

... CNA's strategic direction. Leads build-vs-buy analysis for platform capabilities such as CI/CD ... Expert knowledge of AI-native software engineering practices including agentic coding workflows ...

... CNA's strategic direction. Leads build-vs-buy analysis for platform capabilities such as CI/CD ... Expert knowledge of AI-native software engineering practices including agentic coding workflows ...

Role Summary The AI Strategy & Applications Lead owns the end-to-end application of AI across ... knowledge assistants (product, compensation plan, training) - Distributor-facing AI advisors ...

... Executive Assistant to work alongside our AI Hardware leadershipteam. You will manage all ... Partner with leaders on strategic planning and defining team objectives and priorities

Strategy Insights and Planning Associate Consultant - AI Practice Area ZS's Strategy Insights and ... problems * Assist in structuring and conducting market research and/or desk research to derive ...

They are seeking a Vice President of AI Strategy & Deployment to lead the effort to embed AI into ... must assist and clarify, not replace clinical judgment. • Sponsor's AI Maturity Partnership.

About the role GoodRx is looking for a Vice President of AI Strategy & Deployment to lead the ... healthcare must assist and clarify, not replace clinical judgment. * Sponsor's AI Maturity ...

About the role GoodRx is looking for a Vice President of AI Strategy & Deployment to lead the ... healthcare must assist and clarify, not replace clinical judgment. * Sponsor's AI Maturity ...

Vice President of AI Strategy & Transformation Location: Flexible (Hybrid/Remote Options Available ... Develop intelligent assistants, workflow automations, and internal data agents to streamline ...

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Assistant Ai Strategy information

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$55.5K

$124.7K

$217.5K

How much do assistant ai strategy jobs pay per year?

As of Jun 11, 2026, the average yearly pay for assistant ai strategy in the United States is $124,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What are some typical challenges an Assistant AI Strategy professional might face when supporting the development and implementation of AI initiatives?

As an Assistant AI Strategy professional, you'll often encounter challenges such as aligning AI initiatives with overall business objectives, managing stakeholder expectations, and navigating evolving technologies. You may also need to balance the need for innovation with concerns about data privacy, ethical use, and regulatory compliance. Collaborating effectively across technical, business, and operations teams is crucial to ensure the successful integration of AI solutions within existing workflows.

What is an Assistant AI Strategy?

An Assistant AI Strategy refers to the planning and implementation of artificial intelligence technologies, such as digital assistants, to support and enhance business operations. This role involves analyzing current AI trends, identifying opportunities for AI integration, and recommending best practices for deploying AI assistants. The goal is to improve efficiency, automate routine tasks, and provide valuable insights for decision-making. Professionals in this field work closely with technical teams and business stakeholders to align AI initiatives with organizational objectives.

What is the difference between Assistant Ai Strategy vs Data Analyst?

AspectAssistant Ai StrategyData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related fields; familiarity with AI toolsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI-focused roles within tech and innovation sectorsAcross various industries for data-driven decision making

The Assistant Ai Strategy role focuses on developing and implementing AI strategies, working closely with AI teams, and understanding AI technologies. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions through data insights. While both roles require analytical skills, Assistant Ai Strategy emphasizes AI knowledge and strategic planning, whereas Data Analysts focus on data manipulation and analysis.

What are the key skills and qualifications needed to thrive as an Assistant AI Strategist, and why are they important?

To thrive as an Assistant AI Strategist, you need a solid understanding of artificial intelligence concepts, data analysis, and strategic planning, often supported by a degree in computer science, data science, or business. Familiarity with tools like Python, machine learning platforms (such as TensorFlow or Azure ML), and data visualization software is commonly required. Strong communication, critical thinking, and collaborative skills help you effectively bridge technical teams and business stakeholders. These skills ensure successful AI project implementation and alignment with organizational goals.
More about Assistant Ai Strategy jobs
What cities are hiring for Assistant Ai Strategy jobs? Cities with the most Assistant Ai Strategy job openings:
What are the most commonly searched types of Ai Strategy jobs? The most popular types of Ai Strategy jobs are:
What states have the most Assistant Ai Strategy jobs? States with the most job openings for Assistant Ai Strategy jobs include:
Infographic showing various Assistant Ai Strategy job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $124,659 per year, or $59.9 per hour.

VP, AI Strategy & Solutions

Security Service FCU

San Antonio, TX

Full-time

Posted 2 days 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.