AI Process Analyst — Real Estate Capital & Commercial Servicing

KeyBank • Overland Park, KS

2d • $71,000 - $125,000 • Hybrid

About The Position

KeyBank’s Real Estate Capital Business & Technology Optimization team is seeking an AI Process Analyst to support AI and process improvement initiatives across Real Estate Capital (REC) and KeyBank Commercial Servicing (KCIS). The role works with business teams to understand workflows, identify improvement opportunities, and turn them into practical solutions using AI, automation, and process redesign. Assignments span lending and servicing, with work prioritized according to business priorities, expected value, and delivery readiness.

The analyst helps move opportunities from discovery through prototyping, testing, and implementation in partnership with business, technology, risk, and change management teams. The role combines process analysis with hands-on use of AI tools to build, test, and refine prototypes. Success means delivering trusted, measurable improvements—such as reduced manual work, faster completion, and greater consistency—and developing tested, repeatable capabilities that can be reused where appropriate.

The position is hybrid, with a stated category of three or more days in-office. Occasional travel, including overnight stays, is expected. Physical demands include prolonged sitting; communicating face to face or by phone; frequent PC or laptop use; and occasional lifting, pushing, or pulling of backpacks or computer bags weighing up to 10 pounds. The role is eligible for a base salary of $71,000 to $125,000 annually, with eligibility for incentive compensation that may include production, commission, and/or discretionary incentives. Placement within the range may depend on factors including skills, experience, and geographic location.

Requirements

• Bachelor’s degree or equivalent combination of education and relevant experience.
• Practical experience applying generative AI or automation tools to business problems, including developing instructions and evaluating results.
• Proficiency with Microsoft Copilot Studio, Power Automate, Google Gemini, or comparable enterprise platforms.
• Demonstrated experience in business analysis, process improvement, operations transformation, or technology delivery.
• Understanding of the differences between AI-based reasoning and rules-based processing, and when each is appropriate.
• Strong analytical, problem-solving, written communication, and stakeholder management skills.
• Ability to independently lead discovery sessions and translate complex workflows into clear requirements and actionable improvements.
• Ability to work across business teams, manage shifting priorities, incorporate feedback, and deliver useful results in short iterations.

Nice To Haves

• Experience in commercial real estate lending, commercial banking, underwriting, portfolio management, or commercial mortgage servicing.
• Familiarity with document classification, data extraction, knowledge retrieval, and human review workflows.
• Computer science degree or equivalent.
• Working knowledge of data structures, APIs, SQL, or Python.
• Experience delivering solutions in a regulated environment.

Responsibilities

• Work with REC and KCIS business teams to understand workflows, pain points, and business requirements.
• Map current processes, including activities, decisions, handoffs, systems, and supporting documents.
• Identify opportunities to eliminate unnecessary work, reduce manual effort, improve quality, and accelerate turnaround times across lending and servicing.
• Evaluate whether AI, conventional automation, system enhancements, or process changes are the most practical solutions.
• Identify common needs across REC and KCIS where reusable capabilities can extend business value and reduce duplicate effort.
• Develop and refine AI instructions, reusable skills, and low-code prototypes using approved enterprise tools.
• Support definition of focused use cases with clear inputs, expected outputs, business rules, exception handling, and acceptance criteria.
• Break larger opportunities into manageable increments that can be tested and delivered quickly.
• Partner with technical teams and business partners to define data, document, integration, and workflow requirements.
• Create requirements and documentation that support implementation, reuse, and ongoing maintenance.
• Develop representative test scenarios covering successful outcomes, exceptions, missing information, and conflicting evidence.
• Assess AI outputs for accuracy, consistency, supporting evidence, and appropriate handling of uncertainty.
• Define where deterministic rules, validation controls, and human review are required.
• Partner with UAT resources and business SMEs to investigate issues and confirm solutions meet business needs.
• Work with the change management lead and business partners to support demonstrations, user guidance, feedback, and adoption.
• Maintain a shared view of REC and KCIS opportunities, including estimated value, delivery effort, dependencies, and risks.
• Execute against agreed priorities and adapt assignments as business needs and delivery readiness change.
• Establish baseline measures and track improvements in effort, turnaround time, quality, rework, and user adoption.
• Follow enterprise requirements for information security, privacy, data handling, and responsible AI use.
• Communicate findings, recommendations, delivery progress, and priority tradeoffs clearly to business and technical stakeholders.

Benefits

• Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Benefits are referenced in the posting, but specific benefits are not listed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level