Sr. Discovery and Modernization Consultant

4 DAYS ONSITE IN DALLAS TEXAS

Seeking an experienced Senior Application Discovery & Modernization Consultant to assess and document a portfolio of custom business applications with limited or no existing documentation. This role combines application architecture, software engineering, modernization planning, and AI-assisted analysis.

You will leverage tools such as Claude, Copilot, and traditional engineering practices to rapidly understand application functionality, document business capabilities, identify risks, and develop modernization recommendations. This is a unique opportunity to help preserve institutional knowledge, reduce support risk, and shape the future technology roadmap for critical business applications.

• Discover and Assess Applications
  • Analyze custom-built and legacy applications with incomplete documentation.
  • Review source code, databases, integrations, and deployment artifacts.
  • Identify business capabilities, workflows, and application dependencies.
  • Create a clear understanding of how applications support business operations.
• Create Documentation and Knowledge Assets
  • Develop functional and technical documentation.
  • Produce architecture diagrams, dependency maps, and support artifacts.
  • Capture critical operational knowledge and reduce reliance on individual subject matter experts.
  • Create documentation that supports long-term ownership and maintenance.
• Evaluate Risk and Modernization Opportunities
  • Identify technical debt, supportability concerns, and operational risks.
  • Assess application architecture, maintainability, scalability, and sustainability.
  • Recommend whether applications should be retained, refactored, replatformed, replaced, or retired.
  • Contribute to a prioritized modernization roadmap.
• Leverage AI-Assisted Engineering
  • Utilize approved AI tools including Claude and Copilot to accelerate code analysis, application discovery, and documentation.
  • Validate AI-generated findings through engineering expertise and stakeholder collaboration.
  • Help establish repeatable AI-enabled assessment practices for future application evaluations.

• For each application assessed, you will produce:
  • Functional Documentation
  • Technical Documentation
  • Architecture Diagram
  • Dependency Assessment
  • Support Runbook
  • Risk Assessment
  • Technical Debt Assessment
  • Modernization Recommendation
• At the conclusion of the engagement:
  • Application Portfolio Inventory
  • Knowledge Concentration Assessment
  • Portfolio Risk Summary
  • Modernization Roadmap
  • Executive Recommendations

• 10+ years of experience in software engineering, solution architecture, application architecture, or modernization consulting.
• Experience assessing undocumented or legacy applications.
• Strong understanding of software architecture, APIs, databases, integrations, and software development practices.
• Experience creating technical documentation, architecture diagrams, and support documentation.
• Experience identifying technical debt, operational risk, and modernization opportunities.
• Strong communication skills with the ability to work effectively with business and technical stakeholders.

• Experience with application portfolio assessments or modernization programs.
• Experience in manufacturing, retail, distribution, supply chain, or enterprise business applications.
• Knowledge of ERP, OMS, CRM, and custom business systems.
• Experience developing modernization roadmaps and technology investment recommendations.

• Candidates should have practical experience using AI-assisted engineering tools such as:
  Claude Git Hub Copilot Microsoft Copilot Automated code analysis and documentation platforms.
• The ideal candidate understands how to leverage AI to accelerate assessment activities while applying sound engineering judgment and validation.

By the end of the engagement, you will have:
Documented critical business applications. Preserved key operational knowledge. Reduced application support and continuity risks. Identified technical debt and modernization opportunities. Delivered prioritized recommendations that support future technology investment decisions.