Technical Delivery Lead- Hybrid Des Moines, Iowa

Wellabe is looking for a Technical Delivery Lead to join our team. The Technical Delivery Lead will function as both Project Manager & Technical Business Analyst. to translate business outcomes into high-quality, structured requirements and delivery plans that enable engineers-and AI-assisted development tools (including Git Hub Copilot agents)-to implement solutions quickly, safely, and consistently. This role leads fast-paced delivery for a "startup within the company," applying modern, AI-enabled ways of working to accelerate planning, development, documentation, and release execution.

In addition, works as a liaison with business units and technology teams to optimize costs and improve complex business processes, products, services, and software by strategically using data analysis to elicit, analyze, communicate, and validate requirements for change. Be successful in this role Someone in this role will:
* Research, identify, analyze, and model business processes and problems of high complexity to ensure a thorough understanding of current and proposed procedures and systems, identifying opportunities to improve departmental and corporate operations.
* Lead collaborations with project stakeholders to build business cases and prepare detailed requirements artifacts, including scope, assumptions, dependencies, cost/benefit analysis, and feasibility of identified opportunities.
* Lead and direct complex systems analysis and delivery efforts; including analyzing system requirements, drafting scope documents, and providing technical solution direction.
* Plan and execute delivery as a hybrid PM/BA:
* Build and maintain delivery plans, milestones, and release timelines
* Facilitate sprint planning, backlog refinement, demos, and retrospectives
* Manage RAID (risks, assumptions, issues, dependencies), scope control, and change management
* Provide regular status updates, decision logs, and escalation paths to leaders and stakeholders
* Produce "AI-ready" requirements and specifications that can be reliably implemented by development teams using Git Hub Copilot agents and other AI development workflows:
* Write clear user stories with strong acceptance criteria, including edge cases and non-functional requirements
* Provide structured artifacts such as decision tables, workflow diagrams, data mappings, API/interface contracts, validation rules, and examples
* Ensure requirements are testable, unambiguous, and traceable from outcome → story → acceptance criteria → implementation → validation
* Analyze and present documented requirements on small to large projects to business partners, technical teams, and software quality assurance teams to report progress and strategies; facilitate discussion around selecting the best solutions; and re-evaluate agreed-upon solutions to ensure feasibility and stakeholder alignment. *

Research, identify, analyze, and model business processes and problems of high complexity to ensure a thorough understanding of current and proposed procedures and systems, identifying opportunities to improve departmental and corporate operations.
* Lead collaborations with project stakeholders to build business cases and prepare detailed requirements artifacts, including scope, assumptions, dependencies, cost/benefit analysis, and feasibility of identified opportunities.
* Lead and direct complex systems analysis and delivery efforts; including analyzing system requirements, drafting scope documents, and providing technical solution direction.
* Plan and execute delivery as a hybrid PM/BA:
* Build and maintain delivery plans, milestones, and release timelines
* Facilitate sprint planning, backlog refinement, demos, and retrospectives
* Manage RAID (risks, assumptions, issues, dependencies), scope control, and change management
* Provide regular status updates, decision logs, and escalation paths to leaders and stakeholders
* Produce "AI-ready" requirements and specifications that can be reliably implemented by development teams using Git Hub Copilot agents and other AI development workflows:
* Write clear user stories with strong acceptance criteria, including edge cases and…