AI Solutions Analyst: Drive Practical AI in Banking

First Mid Bancshares, Inc.

Mattoon (IL)

On-site

USD 85,000 - 120,000

Full time

14 days+

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Job summary

First Mid Bank & Trust is seeking an AI Solutions Analyst in Illinois to identify, scope, implement, and advance AI initiatives across the organization. You will partner with business units to translate needs into practical, governed AI-enabled solutions that improve efficiency, decision-making, and service delivery.

The role coordinates vendors, tracks progress, and supports change management to ensure adoption.

Qualifications

Bachelor’s degree or an associate in information technology, Computer Science, Data Analytics, Business, Information Systems, or a related field.
Relevant certifications/continuing education in AI, data analytics, project management, or business analysis are a plus
3–5 years of experience in technology, business analysis, process improvement, digital transformation, data analytics, or project management.
Experience working directly with business units to gather requirements, define solutions, and manage delivery.
Exposure to AI, automation, machine learning, data platforms, or emerging technology initiatives in a business environment.
Experience leading or coordinating cross-functional projects from ideation through implementation.
Financial services, banking, or regulated industry experience is strongly preferred.

Responsibilities

Partner with business lines and support functions to identify, assess, and prioritize AI use cases that improve efficiency, service delivery, decision-making, and operational performance.
Lead discovery sessions to define business challenges, gather requirements, and translate needs into practical AI-enabled solutions.
Evaluate AI tools, platforms, vendors, models, and solution options for business fit, usability, scalability, governance alignment, and responsible adoption.
Scope AI initiatives by documenting objectives, business value, success metrics, dependencies, risks, data requirements, and implementation considerations.
Coordinate AI projects from ideation through deployment, ensuring timelines, deliverables, stakeholder alignment, and targeted business outcomes are achieved.
Translates business requirements into meaningful action items among business teams, technology, data, risk, compliance, legal, and information security to support effective solution design and delivery.
Support the development, testing, implementation, optimization, and ongoing performance monitoring of AI solutions, including workflow automation, document processing, analytics, knowledge support, and generative AI use cases.
Promote responsible AI adoption by establishing standards, best practices, governance alignment, user training, change management, and a culture of practical innovation across the organization.