AI Enablement Analyst – Real Estate Capital & Servicing

KeyBank

Dallas (TX)

Hybrid

USD 71,000 - 125,000

Full time

6 days ago
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Job summary

KeyBank's Real Estate Capital & Technology Optimization team seeks an AI Process Analyst to support AI and process improvements across REC and KCIS. The role collaborates with business teams to map workflows and translate opportunities into practical AI-enabled solutions.

The analyst will develop low-code prototypes, define focused use cases, test AI outputs, and partner with business and IT to deliver measurable efficiency gains in lending and servicing.

Qualifications

  • 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.

Responsibilities

  • Work with REC and KCIS business teams to understand workflows and requirements.
  • Map current processes including activities, decisions, handoffs, systems, and docs.
  • Identify opportunities to eliminate unnecessary work, reduce manual effort, improve quality, and accelerate turnaround times across lending and servicing.
  • Evaluate when AI, conventional automation, system enhancements, or process changes offer the most practical solution.
  • 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 the 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 clear 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.

Skills

Generative AI
Automation tools
Business analysis
Process improvement
Operations transformation
Technology delivery
AI reasoning vs rules-based processing
Analytical thinking
Problem-solving
Written communication
Stakeholder management
Discovery sessions
Requirements gathering
Cross-functional collaboration

Education

Bachelor's degree

Tools

Microsoft Copilot Studio
Power Automate
Google Gemini

Job description

KeyBank's Real Estate Capital & Technology Optimization team seeks an AI Process Analyst to support AI and process improvements across REC and KCIS. The role collaborates with business teams to map workflows and translate opportunities into practical AI-enabled solutions.

The analyst will develop low-code prototypes, define focused use cases, test AI outputs, and partner with business and IT to deliver measurable efficiency gains in lending and servicing.

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