AI Strategy Consultant Jobs
AI Strategy Consultant jobs are open across technology, financial services, healthcare, and management consulting, from analyst-level to principal and partner, with specializations in enterprise AI adoption, AI roadmap development, and operating model transformation. Scan the live roles below and apply to whichever ones fit.
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The Opportunity
The University of Virginia invites applications for an eminent scholar and innovative educator in the domain of artificial intelligence in business to serve as the inaugural LaCross Artificial Intelligence in Business University Professor (LaCross Professor), beginning in the fall of 2027. This endowed position seeks an exceptionally distinguished scholar and innovative educator whose expertise lies at the intersection of artificial intelligence (AI) and business, broadly defined, including areas such as machine learning, the economics of AI, leadership and human impact of AI, the future of work, and responsible and ethical AI. A successful candidate will lead efforts to advance the understanding, application, and impact of ethical AI leadership in business and management practices.
The individual, appointed as University Professor, will report to both the University President and the Executive Vice President and Provost, and will serve as an advisor to the Provost in advancing AI research and impact across the institution. The position is at a senior level, and candidates should possess qualifications sufficient to receive tenure as a full professor at the Darden Graduate School of Business, with consideration for courtesy appointments at other schools at the University, as appropriate and subject to consideration by the respective faculties.
The Role and Responsibilities
A successful candidate is expected to conduct cutting-edge interdisciplinary research at the nexus of AI and business, contributing to the advancement of knowledge in the field. The candidate should have experience teaching, or a demonstrated interest in teaching, graduate MBA and PhD students and executive-level courses in areas related to AI and its applications in business, including but not limited to machine learning, data-driven decision-making, AI ethics, and AI-driven innovation. The candidate should also be willing to teach with excellence using Darden’s student-centered Socratic method.
The LaCross Professor will help position UVA as a national leader in AI research and will assist with the AI@UVA efforts across Grounds by promoting AI literacy, fostering ethical AI practices, and driving thought leadership in the field. The candidate will be a visionary leader with the ability to advance AI excellence across research, education, and institutional strategy, helping position the University at the forefront of AI innovation and impact. Responsibilities of this position include developing interdisciplinary collaborations across the University of Virginia and fostering partnerships with other schools, particularly the School of Data Science, the School of Engineering and Applied Science, the McIntire School of Commerce, and the Biocomplexity Institute, as well as with departments, industry leaders, and research centers. The position also requires the ability to mentor students and junior faculty, providing guidance in research, career development, and academic growth.
The LaCross Professor will also serve as one of the Academic Directors of the LaCross Institute for Ethical Artificial Intelligence in Business at the Darden School , established in 2024 to accelerate UVA’s leading role in shaping AI’s impact on society and business, enabled by the largest gift in Darden history from alumnus David LaCross (MBA ’78) and his wife, Kathy. The LaCross Institute builds on Darden’s successful history of advancing research, teaching, and engagement with practice related to artificial intelligence. The successful candidate will work alongside the other faculty fellows, academic directors, and professional staff leaders to advance its mission of making the world a better place through the responsible use of AI in business by developing leaders who can manage AI businesses and solutions, guided by ethics, values, and the advancement of human well-being. As one of the Academic Directors of the LaCross Institute, the LaCross Professor will advance Darden’s and UVA’s leadership in ethical AI in business by advancing and supporting research on AI-related topics, creating new courses and course materials at the cutting edge of pedagogy, and engaging with practice and industry on the leading-edge uses of ethical AI in business. The LaCross Professor will engage with external stakeholders, including businesses, policymakers, and the broader community, to translate academic research into real-world applications and societal impact.
Responsibilities of this role include contributing to the ongoing development and implementation of a forward-thinking vision for AI advancement across the University. This work may include contributing to timely initiatives such as crafting and implementing university-wide AI strategies that align with academic and operational priorities; fostering AI collaboration across academic disciplines; engaging with a broad set of stakeholders, including faculty, students, industry leaders, government agencies, and philanthropic organizations, to build a thriving AI ecosystem; and representing the University in AI-related research, policy, and industry discussions at the national and global levels, consistent with the candidate's qualifications and institutional needs.
This work will serve to complement, and will benefit from, other UVA schools, institutes, and programs, namely:
- The Batten Institute for Entrepreneurship, Innovation and Technology serves as the key catalyst and hub for technology and entrepreneurial activity at UVA’s Darden School of Business, supporting faculty and students through research, experiential learning, co-curricular programs, scholarships, and thought leadership focused on innovation at Darden.
- The School of Data Science is the first of its kind in the nation and is guided by common goals: to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education. Founded in fall 2019 through the largest gift in UVA’s history, the School positions the University to play a national and international leadership role in the global digital future.
- The Biocomplexity Institute (BI) focuses on solving complex problems that cannot be addressed within the narrow confines of a single discipline or by a single researcher. The Biocomplexity Institute has developed a unique transdisciplinary team-science approach to tackling such problems and finding AI-enabled solutions for scientific and societal applications in areas such as public health, the labor market, biotechnology, and independent critical infrastructures. BI works to foster global collaborative networks that advance the research agenda and develop innovative experiential learning programs for students. The Institute has made significant advances in high-performance computing (HPC), AI, and machine learning, and created international cyberinfrastructure and HPC ecosystems. Since 2018, the Biocomplexity Institute has brought in more than $100 million in federal funding.
- The Paul and Diane Manning Institute of Biotechnology : Designed to propel UVA to the forefront of cutting-edge medicine, the Paul and Diane Manning Institute of Biotechnology accelerates the development of new treatments and cures and transforms how healthcare is delivered across the Commonwealth and beyond. Within the School of Medicine, significant funds are invested each year to support translational life sciences research.
- National Security Data and Policy Institute : The NSDPI at UVA was established in 2024 to advance research and engagement with the national security and intelligence communities. The Institute's initial activities center on data and intelligence deliverables identified in partnership with the Office of the Director of National Intelligence. Through this work, the Institute is developing into a durable, interdisciplinary center for security research and government engagement.
Ideal Experience and Characteristics
UVA seeks a broad pool of candidates with the ability to help develop and advance a pan-University initiative and with demonstrated commitments to interdisciplinary collaboration, team building, and innovation. The ideal candidate is a scholar whose work and presence attract other faculty to UVA, with a record of building research programs or platforms and a clear vision for AI in business. UVA welcomes candidates from business, computing, the social sciences, and related disciplines, as well as researchers in industry with strong academic credentials.
Candidates must possess the academic credentials necessary to be eligible for a tenured full professor appointment at the Darden School of Business.
Other requirements:
Leadership and Collaboration: Strong leadership skills, with the ability to work collaboratively across disciplines and build meaningful partnerships. Administrative leadership experience, such as leading research groups, centers, or initiatives, is preferred.
- Academic Credentials: A terminal degree (Ph.D., JD, DBA, Ed.D., among others) in a related field, including but not limited to Decision Sciences, Computer Science, Data Science, Leadership, Management Science, Marketing, Operations Research, Statistics, Economics, Information Systems, Psychology, and Philosophy.
- Research Excellence: A distinguished record of research publications in leading journals and conferences in the candidate’s discipline, impactful contributions to the field, and recognition as a thought leader in AI and business, including, where relevant, attention to ethical considerations in AI applications.
- Teaching and Mentorship: Proven excellence in teaching and mentorship, with a commitment to fostering an inclusive, supportive, and student-centered learning environment, as well as experience developing teaching materials and establishing or maintaining interactions with practicing managers and academics.
- Industry and Philanthropic Engagement: Experience applying AI to business challenges and bridging the gap between academia and industry. Excellent communication, presentation, listening, and interpersonal skills; the ability to communicate with and inspire a broad array of stakeholders, including faculty, staff, students, alumni, and external partners; and the ability to engage donors, build rapport, and participate in securing philanthropic support for AI.
To Apply or Nomninate
UVA Executive Search Group (ESG) has been retained to assist in the search for the LaCross Artificial Intelligence in Business University Professorship. Confidential inquiries should be sent via email to Adam Seid, Senior Search Consultant, at seid@virginia.edu . Nominations may be submitted by email or through our online nomination form . To apply, submit a letter of interest and CV via Interfolio. The search will be carried out with full confidentiality.
Applications received by December 31, 2026, will be given priority consideration.
AI Strategy Consultant Jobs by Experience Level
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Find AI Strategy Consultant JobsAI Strategy Consultant Job Market
Who's Hiring
- JPMorganChase12

- PwC11

- Booz Allen Hamilton11

- Johns Hopkins University Applied Physics Laboratory9

- University of San Diego6

Top Industries Hiring
- Education
- Technology & Software
- Healthcare & Medical Services
- Banking & Financial Services
- Insurance
What Employers Look For
The qualifications that appear most often in AI strategy consultant jobs.
- 5 or more years of experience in management consulting, AI product, or digital strategy roles
- Demonstrated ability to build and present AI business cases to C-suite stakeholders
- Proficiency with AI and machine learning frameworks including Python, cloud AI services, or LLM platforms
- Experience conducting AI readiness assessments and developing enterprise AI roadmaps
- Strong facilitation and workshop design skills for cross-functional alignment sessions
- MBA or advanced degree in computer science, data science, or a related field preferred
Tips for Your AI Strategy Consultant Job Search
Quantify AI outcomes on your resume
Generic claims about AI fluency won't move you past screening. Cite specific initiatives you shaped: cost reductions from a model deployment, revenue attributed to an AI-driven product, or adoption rates from a rollout you led across a business unit.
Show both business and technical depth
AI strategy roles screen out candidates who lean entirely technical or entirely commercial. Your resume should show you can read a model architecture conversation and then translate findings into an executive-ready business case the same week.
Target roles by AI maturity stage
A company still building its data infrastructure needs a different consultant than one scaling a deployed AI platform. Read each job description for signals like 'build from scratch' versus 'accelerate adoption' and tailor your cover letter angle accordingly.
Apply early to roles that fit
Migrate Mate lists ai strategy consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a case study for the work sample round
Most ai strategy consultant interview loops include a live case or take-home scenario involving an AI investment decision. Practice structuring a recommendation that covers feasibility, build-versus-buy tradeoffs, change management, and measurable success criteria within a tight time constraint.
Negotiate scope alongside compensation
AI strategy roles vary widely in decision-making authority. During offer conversations, clarify whether you'll have a seat at the table for vendor selection, budget ownership, and cross-functional alignment, or whether you're primarily an advisor with limited execution power.
AI Strategy Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most ai strategy consultants?
The companies hiring the most ai strategy consultants right now include JPMorganChase, PwC, and Booz Allen Hamilton, with the largest share of openings in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in management consulting firms, large technology companies, and financial institutions building out dedicated AI practices.
How many ai strategy consultant jobs are remote?
About 65% of ai strategy consultant openings are fully remote or hybrid as of November 2026, reflecting the advisory and knowledge-work nature of the role. Sub-areas focused on executive advising, roadmap development, and AI governance tend to offer the most location flexibility, while roles tied to embedded delivery or hands-on implementation often require on-site presence.
How do you become a ai strategy consultant?
Start by building a foundation in either business strategy or applied AI, ideally both. Gain experience advising on technology or digital transformation initiatives, whether in consulting, a technology company, or an internal strategy function. Develop fluency in AI concepts well enough to pressure-test vendor claims and frame investment decisions. Build a portfolio of documented outcomes from AI initiatives you shaped, then target roles that match your current depth.
How do you get hired as an ai strategy consultant with little experience?
Focus on adjacent experience that demonstrates strategic thinking applied to technology decisions. Roles in digital transformation, data program management, or product strategy for AI-adjacent tools all transfer directly. Completing a recognized AI strategy certification, contributing to a published AI use-case analysis, or building a documented case study from a volunteer or freelance engagement can substitute for years of formal title experience when your reasoning is clear and rigorous.
What does the ai strategy consultant interview process look like?
The process typically runs three to four rounds. An initial recruiter call screens for background and role fit, followed by a hiring manager conversation that probes your approach to AI advisory engagements. A work sample or case presentation round asks you to develop and defend an AI strategy recommendation under realistic constraints. Final rounds often involve a panel of stakeholders from both business and technical functions who assess how you communicate across those audiences.
Where can I find and apply to ai strategy consultant jobs?
You can find and apply to ai strategy consultant jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your background and interests, and apply directly to each listing that fits.
See All 344+ AI Strategy Consultant Jobs
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