Director of Development and AI

## Director of Development and AIApply:
Arizona:
Full time:
Posted 7 Days Ago:
R71099
** Job Summary
** The Director of Development & AI at Dassian Inc. leads the software development lifecycle (SDLC) to create innovative and scalable SAP-integrated solutions, while driving the adoption of AI across engineering. This role involves managing a team of developers, ensuring the delivery of high-quality products, embedding AI-assisted workflows into day-to-day engineering practice, and building AI capability into CI/CD pipelines and product features — all while collaborating across departments to align development efforts with the company's strategic goals.
** Job Description
**** Key Responsibilities
**** 1. Development Leadership
*** Oversee the design, development, and deployment of Dassian's software solutions.
* Ensure all products are delivered on time, within scope, and meet quality standards.
* Establish and enforce best practices in coding, testing, and deployment, including AI-assisted engineering practices.
** 2. AI-Enabled SDLC & Developer Adoption
*** Lead the integration of AI tools and practices throughout the software development lifecycle, from planning and coding to testing, code review, and deployment.
* Drive day-to-day adoption of AI coding assistants and agentic development tools across the engineering team, establishing usage standards, prompting practices, and guardrails for responsible use.
* Define and track metrics for AI-assisted development adoption and impact (e.g., cycle time, code quality, developer productivity).
* Champion change management and training so developers build durable fluency with AI-assisted workflows rather than ad hoc use.
* Evaluate, pilot, and select AI development tools (coding assistants, code review agents, test generation tools) and manage vendor/tooling relationships.
** 3. AI in CI/CD & Product Features
*** Build AI capability into CI/CD pipelines, including automated code review, test generation, build/release risk detection, and intelligent deployment gating.
* Partner with Product Management to identify, prioritize, and deliver AI-powered features within Dassian's SAP-integrated product portfolio.
* Establish standards for responsible AI use in production systems, including model selection, data handling, monitoring, and evaluation of AI-driven features.
* Stay current on emerging AI/ML tooling and techniques relevant to enterprise SAP software, and translate them into practical roadmap initiatives.
** 4. Strategic Planning
*** Collaborate with leadership and Product Management to define the development roadmap and prioritize projects based on business and customer needs, including AI-driven initiatives.
* Monitor industry trends and emerging technologies, particularly in AI, to drive innovation in Dassian's offerings.
** 5. Team Management
*** Lead, mentor, and manage a team of developers, fostering a culture of collaboration, continuous improvement, and continuous learning around AI-assisted development.
* Conduct regular performance reviews and provide professional development opportunities for team members, including AI upskilling.
** 6. Cross-Functional Collaboration
*** Work closely with the product management, sales, and delivery teams to gather requirements and ensure alignment between development efforts and client needs.
* Act as a liaison between technical teams and stakeholders to translate business requirements into technical solutions, including AI-enabled capabilities.
** 7. Quality Assurance
*** Establish and oversee rigorous quality assurance processes to maintain the reliability and performance of Dassian's software solutions, including validation of AI-assisted and AI-generated code.
* Address technical challenges and troubleshooting issues as they arise.
** 8. Process Optimization
*** Continuously evaluate and refine development processes to improve efficiency, scalability, and agility, leveraging AI/automation wherever it adds measurable value.
* Ensure compliance with regulatory and industry standards where applicable, including responsible-AI and data governance considerations.
** 9. Talent Management
*** Manage employees throughout the employee life cycle, including onboarding, development, and offboarding processes.
* Provide training and mentorship to staff, fostering a culture of growth and learning.
* Collaborate with leadership to address employment transitions and contractual updates effectively.
** Qualifications
* *** Education
* * Bachelor's degree in Computer Science,…