Mid Level AI Business Analyst Jobs
Mid level ai business analyst jobs go to professionals ready to own end-to-end AI initiatives, translate complex model outputs into business decisions, and guide junior analysts without waiting for direction. Openings are spread across on-site, remote, and hybrid settings in Education, Banking & Financial Services, and Investment & Asset Management, with employers like JPMorganChase, Goldman Sachs, and Villanova University hiring at this level now.
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- Syracuse
- Information Management & Technology
- Full-time
- Opening on: Oct 14 2026
- IMT-Moonshot
- State of New York
- Senior Programmer/Analyst, NSSL4
- 90856
Job Summary:
The Artificial Intelligence Engineer designs, develops, evaluates, and supports artificial intelligence and machine learning solutions across Upstate Academic Medical Center. This position translates clinical, operational, academic, and administrative needs into practical technical solutions, including natural language processing applications, generative AI, and machine learning tools.
The Artificial Intelligence Engineer collaborates with subject matter experts, data teams, cloud and infrastructure teams, and organizational leadership throughout the AI solution lifecycle, from use-case definition and technical feasibility assessment through development, validation, implementation, and monitoring. The position also evaluates externally developed AI technologies for safety and suitability at Upstate.
This role works closely with IMTs AI Governance Lead and other appropriate stakeholders to ensure that AI solutions are transparent, secure, appropriately validated, and implemented in alignment with Upstates mission, vision, values, policies, and applicable laws and regulations.
Minimum Qualifications:
Bachelor's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, information systems, or another technical or data-driven field. 5+ years of relevant experience in artificial intelligence, machine learning, data science, software development, advanced analytics, or a related field. 2+ years programming experience in Python or C/C++/C# required.
Demonstrated experience designing, developing, and evaluating artificial intelligence solutions.
Proficiency in Python or another programming language commonly used for AI, machine learning, data analysis, or software development.
Experience with natural language processing, machine learning techniques, model validation, and performance evaluation.
Experience working with structured and unstructured data using data-processing and analytical libraries or platforms.
Understanding of software-development practices, including source control, code documentation, testing, dependency management, and development across multiple environments.
Ability to investigate technical problems, evaluate alternative approaches, and develop practical solutions involving data, models, applications, and system integrations.
Preferred Qualifications:
Master's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, informatics, or a related field.
Experience with Microsoft Azure suite of AI Tools, Microsoft Fabric, Power Platform, Copilot Studio, Azure DevOps or comparable technologies.
Prior work with healthcare data, including clinical, operational, claims, electronic health record, or healthcare administrative data.
Familiarity with healthcare privacy, security, regulatory, and governance requirements, including appropriate handling of protected health information.
Experience integrating technical solutions into established clinical, operational, academic, or administrative workflows.
Willingness to learn Python programming language if not already proficient.
Work Days:
M - F 8 - 4:30
Message to Applicants:
Applicants must live within a reasonable commuting distance for regular on-campus requirements.
Recruitment Office: Human Resources
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.
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Mid Level AI Business Analyst Jobs: Frequently Asked Questions
How do I get a mid level ai business analyst job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the analysis from data sourcing through stakeholder delivery, made methodology calls independently, and can speak to measurable outcomes. Applications that specify the AI tools you used, the business problems you framed, and the decisions your work informed stand out far more than those that list tasks.
Which companies hire mid level ai business analysts?
Companies hiring mid level ai business analysts right now include JPMorganChase, Goldman Sachs, and Villanova University, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, from large enterprises building out AI centers of excellence to growth-stage technology firms scaling their analytics functions quickly.
Are there remote mid level ai business analyst jobs?
Yes, remote and hybrid options are common at this level. About 20% of mid level ai business analyst openings are remote or hybrid as of November 2026, reflecting how employers have normalized distributed work for roles where collaboration happens through tools and documentation rather than physical presence.
How do I move up to a mid level ai business analyst role?
Moving from entry level to mid level takes deliberate depth-building over your first few years. Focus on owning projects rather than supporting them, developing fluency with machine learning workflows and product metrics, and showing measurable business impact in your work. Analysts who can connect AI outputs to executive decisions and mentor newer teammates are the ones who earn mid level recognition.
Which industries hire the most mid level ai business analysts?
Mid Level ai business analyst roles concentrate in Education, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they have both the data infrastructure to support AI programs and the business complexity that makes experienced analysts, not just tool operators, essential to turning models into decisions.