Director of Development

Description

About Blitt and Gaines, P.C.

Blitt and Gaines, P.C. is a leading debt collection law firm with over 30 years of experience representing most of the nation’s largest financial institutions. With nine offices across Arizona, Arkansas, Illinois, Indiana, Iowa, Kansas, Missouri, Tennessee, and Wisconsin, our attorneys and support teams deliver high-quality, compliant, and ethical legal services.

At the heart of our firm are people—our clients, our employees, and the partnerships we build. Guided by our philosophy—Collect Compliantly. Litigate Ethically. Lead Effectively. Exceed Expectations. Expect Excellence—we uphold integrity, respect, and fairness in every interaction.

Job Summary:

The Director of Software Development is responsible for the strategic leadership, technical direction and operational management of the organization's Software Development, Quality Assurance and Data Operations functions.

This is a hands-on technical leadership position requiring deep software engineering expertise, enterprise architecture experience and a proven ability to build and lead high-performing engineering organizations. The Director will evolve engineering standards, modern software development practices, AI-assisted development workflows and scalable technical architectures while partnering with executive leadership to align technology initiatives with business objectives.

The Director oversees an engineering organization of approximately ten technical professionals consisting of five Software Developers, one Quality Assurance Analyst and a Data Operations Manager/Database Administrator who leads three Data Operations Specialists. The position is accountable for software engineering, database architecture, reporting platforms, application modernization, technical strategy, engineering productivity and the continuous improvement of software delivery processes.

Primary Responsibilities

Engineering Leadership:

• Define and execute the long-term software engineering strategy for the organization.
• Lead architecture and technical design decisions for enterprise applications and services.
• Establish engineering standards, coding guidelines, architectural principles and development best practices.
• Balance delivery of business initiatives with reduction of technical debt and platform modernization.
• Drive continuous improvement across engineering processes and software quality.
• Serve as the organization's senior technical authority for software engineering.

Software Architecture & Development:

• Lead the design, development, testing, deployment and maintenance of enterprise software systems.
• Review application architecture, database design, API design and implementation approaches.
• Guide modernization initiatives involving legacy applications and platforms.
• Develop scalable service-oriented and API-driven architectures.
• Promote reusable software components and engineering consistency.
• Ensure applications are secure, maintainable, scalable and supportable.

Data Operations & Reporting:

• Provide strategic leadership for the organization's Data Operations function.
• Partner with the Data Operations Manager to ensure reliable reporting, ETL processes, data synchronization and enterprise reporting platforms.
• Oversee Microsoft SQL Server architecture, database performance and data integrity.
• Support enterprise reporting initiatives utilizing Microsoft Power BI.
• Ensure application architecture and database design remain aligned with long-term business needs.

Software Delivery & Engineering Operations:

• Lead Agile software development using Azure DevOps.
• Manage engineering roadmaps, sprint planning, backlog prioritization and release planning.
• Establish engineering metrics around delivery, quality, stability, cycle time and operational performance.
• Improve deployment automation and CI/CD pipelines.
• Implement engineering governance including peer reviews, coding standards, release management and production change control.
• Drive operational excellence through proactive monitoring, logging, observability and incident management.

AI-Enabled Software Engineering:

• Develop and implement an enterprise strategy for AI-assisted software development.
• Evaluate, deploy and govern agentic AI coding platforms including Claude Code and other enterprise AI development tools.
• Establish engineering standards for responsible AI-assisted code generation, automated cod