Mid Level AI Strategy Lead Jobs
Mid level ai strategy lead jobs go to professionals ready to own AI initiatives end to end, guide junior team members, and translate strategic priorities into actionable roadmaps with limited oversight. Openings run across Investment & Asset Management, Technology & Software, and Banking & Financial Services, with 39% remote or hybrid availability, and employers like JPMorganChase, Goldman Sachs, and SMX hiring at this level now.
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Showing 5 of 33+ Mid Level AI Strategy Lead jobs
INTRODUCTION
Driven to be the Best
People. Performance. Purpose. At Avis Budget Group, we’re driven to be the best vehicle rental company in the world, together. Our 25,000 employees raise the bar every day, bringing different perspectives, taking ownership, and leading with integrity. We’re defining the future of mobility with safe, sustainable solutions that move people, businesses, and communities forward.
Position Summary
The Artificial Intelligence Revenue Analyst will lead the design, development, and deployment of an AI-powered revenue opportunity detection system for Avis Budget Group. This role sits at the intersection of revenue management, data science, and product development — translating pricing and availability logic into automated, rules-based alerting that identifies lost revenue opportunities across markets, vehicle classes, and booking channels. The analyst will own the end-to-end lifecycle of the tool: from defining business rules, to building and testing the interface, to driving adoption with the broader revenue management team. This position is based at our New Jersey office and follows a [hybrid/on-site] work model. The interview process will include an in-person interview at our New Jersey office.
REVENUE STRATEGY & AI ENABLEMENT
- Translate revenue management expertise into structured rules and logic that identify pricing, availability, demand, and supply opportunities.
- Partner with Data Science and Technology teams to develop AI-enabled alerting, anomaly detection, and prioritization capabilities.
PRODUCT & DATA INTEGRATION
- Lead the design, testing, and enhancement of revenue management tools and workflows that enable teams to identify and act on opportunities.
- Partner with IT, Data Engineering, and cross-functional teams to ensure data quality, integration, and reliable insights across pricing, availability, reservations, competitive intelligence, and financial performance.
REVENUE OPTIMIZATION & PERFORMANCE
- Identify and prioritize revenue opportunities based on business and financial impact.
- Measure results and continuously refine detection logic, rules, and workflows based on performance, user feedback, and evolving business needs.
STAKEHOLDER LEADERSHIP & ADOPTION
- Serve as the bridge between Revenue Management and technical teams, ensuring business needs are translated into effective technology solutions.
- Drive adoption through training, documentation, change management, and ongoing user engagement.
- Partner with leadership to shape the product roadmap and advance a more proactive, data-driven approach to revenue management.
QUALIFICATIONS
Experience
- Minimum 3 years of experience in revenue management, pricing, finance, or financial/process engineering (travel, transportation, hospitality, or similar dynamic-pricing industry preferred)
- Demonstrated experience optimizing for measurable, incremental revenue outcomes across cross-functional teams or data sets
- Experience working with or supporting the build of analytical tools, dashboards, or business rule engines (formal software development experience not required, but comfort partnering closely with technical teams is essential)
- Experience successfully driving adoption of analytical solutions (ideally AI-driven) in a complex matrix organization
Skills & Competencies
- Strong understanding of revenue management fundamentals: pricing strategy, availability/inventory management, demand forecasting, and yield optimization
- Analytical mindset with the ability to translate business logic into structured rules and testable requirements
- Proficiency with data analysis tools (SQL, Excel, and/or BI platforms such as Tableau or Power BI); exposure to Python or similar scripting languages a plus
- Familiarity with AI/ML concepts (anomaly detection, alerting logic, rules-based automation) — prior hands-on ML experience not required, but curiosity and fluency in the space is important
- Excellent communication skills, with the ability to bridge technical and business audiences
- Strong project management instincts: comfortable owning a roadmap, coordinating stakeholders, and driving a product from concept to adoption
- User-centered mindset — genuinely curious about how end users work and motivated to build tools people actually want to use
- Customer-centric orientation – build solutions that deliver rate products our customers want to purchase using processes that our people will embrace and adapt easily
What Success Looks Like in This Role
- A functioning, adopted exception-alerting system that revenue managers rely on daily
- A documented, evolving revenue rules library that reflects current business priorities
- Measurable incremental revenue captured through resolved pricing/availability exceptions
- High user satisfaction and adoption rates across the revenue management team
- A tight feedback loop between the tool's outputs and continuous rule refinement
Who we are:
Here at Avis Budget Group, you will be joining a team of 25,000 driven people, performing with purpose. Together, we’re moving the future of transportation forward with our innovative, customer-focused solutions. Our culture is performance driven, where we encourage and support each other to be at our best through leadership, training, tools, and rewards. We are proud to make a positive difference to the lives of our colleagues, customers, and communities where we operate.
Avis Budget Group is an Equal Opportunity Employer – Qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other category protected by applicable law.
This advertisement does not constitute a promise or guarantee of employment. This advertisement describes the general nature and level of this position only. Essential functions and responsibilities may change as business needs require. The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. This position may be with any affiliate of Avis Budget Group.
INTRODUCTION
Driven to be the Best
People. Performance. Purpose. At Avis Budget Group, we’re driven to be the best vehicle rental company in the world, together. Our 25,000 employees raise the bar every day, bringing different perspectives, taking ownership, and leading with integrity. We’re defining the future of mobility with safe, sustainable solutions that move people, businesses, and communities forward.
Position Summary
The Artificial Intelligence Revenue Analyst will lead the design, development, and deployment of an AI-powered revenue opportunity detection system for Avis Budget Group. This role sits at the intersection of revenue management, data science, and product development — translating pricing and availability logic into automated, rules-based alerting that identifies lost revenue opportunities across markets, vehicle classes, and booking channels. The analyst will own the end-to-end lifecycle of the tool: from defining business rules, to building and testing the interface, to driving adoption with the broader revenue management team. This position is based at our New Jersey office and follows a [hybrid/on-site] work model. The interview process will include an in-person interview at our New Jersey office.
REVENUE STRATEGY & AI ENABLEMENT
- Translate revenue management expertise into structured rules and logic that identify pricing, availability, demand, and supply opportunities.
- Partner with Data Science and Technology teams to develop AI-enabled alerting, anomaly detection, and prioritization capabilities.
PRODUCT & DATA INTEGRATION
- Lead the design, testing, and enhancement of revenue management tools and workflows that enable teams to identify and act on opportunities.
- Partner with IT, Data Engineering, and cross-functional teams to ensure data quality, integration, and reliable insights across pricing, availability, reservations, competitive intelligence, and financial performance.
REVENUE OPTIMIZATION & PERFORMANCE
- Identify and prioritize revenue opportunities based on business and financial impact.
- Measure results and continuously refine detection logic, rules, and workflows based on performance, user feedback, and evolving business needs.
STAKEHOLDER LEADERSHIP & ADOPTION
- Serve as the bridge between Revenue Management and technical teams, ensuring business needs are translated into effective technology solutions.
- Drive adoption through training, documentation, change management, and ongoing user engagement.
- Partner with leadership to shape the product roadmap and advance a more proactive, data-driven approach to revenue management.
QUALIFICATIONS
Experience
- Minimum 3 years of experience in revenue management, pricing, finance, or financial/process engineering (travel, transportation, hospitality, or similar dynamic-pricing industry preferred)
- Demonstrated experience optimizing for measurable, incremental revenue outcomes across cross-functional teams or data sets
- Experience working with or supporting the build of analytical tools, dashboards, or business rule engines (formal software development experience not required, but comfort partnering closely with technical teams is essential)
- Experience successfully driving adoption of analytical solutions (ideally AI-driven) in a complex matrix organization
Skills & Competencies
- Strong understanding of revenue management fundamentals: pricing strategy, availability/inventory management, demand forecasting, and yield optimization
- Analytical mindset with the ability to translate business logic into structured rules and testable requirements
- Proficiency with data analysis tools (SQL, Excel, and/or BI platforms such as Tableau or Power BI); exposure to Python or similar scripting languages a plus
- Familiarity with AI/ML concepts (anomaly detection, alerting logic, rules-based automation) — prior hands-on ML experience not required, but curiosity and fluency in the space is important
- Excellent communication skills, with the ability to bridge technical and business audiences
- Strong project management instincts: comfortable owning a roadmap, coordinating stakeholders, and driving a product from concept to adoption
- User-centered mindset — genuinely curious about how end users work and motivated to build tools people actually want to use
- Customer-centric orientation – build solutions that deliver rate products our customers want to purchase using processes that our people will embrace and adapt easily
What Success Looks Like in This Role
- A functioning, adopted exception-alerting system that revenue managers rely on daily
- A documented, evolving revenue rules library that reflects current business priorities
- Measurable incremental revenue captured through resolved pricing/availability exceptions
- High user satisfaction and adoption rates across the revenue management team
- A tight feedback loop between the tool's outputs and continuous rule refinement
Who we are:
Here at Avis Budget Group, you will be joining a team of 25,000 driven people, performing with purpose. Together, we’re moving the future of transportation forward with our innovative, customer-focused solutions. Our culture is performance driven, where we encourage and support each other to be at our best through leadership, training, tools, and rewards. We are proud to make a positive difference to the lives of our colleagues, customers, and communities where we operate.
Avis Budget Group is an Equal Opportunity Employer – Qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other category protected by applicable law.
This advertisement does not constitute a promise or guarantee of employment. This advertisement describes the general nature and level of this position only. Essential functions and responsibilities may change as business needs require. The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. This position may be with any affiliate of Avis Budget Group.
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Top Industries Hiring
- Investment & Asset Management
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Mid Level AI Strategy Lead Jobs: Frequently Asked Questions
How do I get a mid level ai strategy lead job?
Position yourself around ownership, not just participation. Highlight projects where you drove AI strategy decisions, shaped roadmaps, or aligned cross-functional stakeholders, rather than supporting someone else's plan. Tailor your resume to show measurable outcomes from those efforts. Applications that demonstrate clear decision-making authority and independent execution consistently stand out at this level.
Which companies hire mid level ai strategy leads?
Companies hiring mid level ai strategy leads right now include JPMorganChase, Goldman Sachs, and SMX, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of employers, including large enterprises building internal AI practices and growth-stage companies scaling their strategic AI functions for the first time.
Are there remote mid level ai strategy lead jobs?
Yes, remote and hybrid options are well represented at this level. About 39% of mid level ai strategy lead openings are remote or hybrid as of August 2026, reflecting how many organizations treat strategy work as location-flexible. On-site roles do exist, particularly at companies that prioritize in-person collaboration for cross-functional AI initiatives.
How do I move up to a mid level ai strategy lead role?
Moving from entry level into a mid level ai strategy lead role takes deliberate skill-building over time. Focus on deepening your understanding of AI product and business tradeoffs, seek out projects where you own a defined scope, and build a record of measurable impact from your recommendations. Mentorship, cross-functional exposure, and contributions that influenced real decisions signal readiness for mid level responsibility.
Which industries hire the most mid level ai strategy leads?
Mid Level ai strategy lead roles concentrate in Investment & Asset Management, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they are actively integrating AI into core operations and need strategists who can move beyond exploration into execution and measurable business impact.