Programmer/Analyst

Overview

The Programmer/Analyst is responsible for formulating and defining the scope and objectives of new or modified computer programs within the NYU Law School environment. The incumbent manages the full Software Development Life Cycle (SDLC), from gathering complex requirements to the strategic deployment of interoperable, API-driven applications—ensuring the Law School's infrastructure remains at the forefront of technological innovation. Under the modernization directive, this role increasingly leverages AI-assisted development tools to accelerate development velocity and enhance code quality. A critical strategic component of this position is the systematic refactoring and sunsetting of legacy mainframe and client-server systems. By identifying technical debt and executing a transition toward modern, cloud-native architectures, the Programmer/Analyst ensures long-term institutional agility and data integrity.

Responsibilities

Required Education:
Bachelor's Degree

Required Experience:
5+ years in Information Systems/Technology. Must include experience with relational database programming/analysis in client/server or cloud-based environments. Proficiency in AI-assisted coding tools and modern version control systems (Git). Experience with security administration and quality assurance for enterprise applications.

Preferred Experience:
5+ years Experience with administrative application systems in a higher education environment (Law School context preferred). Experience with training operations for large-scale computing systems and ticketing/trouble management systems.

Required Skills, Knowledge and Abilities:

• Architectural Knowledge: Deep understanding of relational database programming, client/server architectures, and cloud-based environments.
• Modern Engineering Patterns: Proficiency in code refactoring techniques and knowledge of modern API integration patterns and data schema design to facilitate system interoperability.
• Strategic Decommissioning: Ability to assess technical debt and manage the strategic decommissioning of legacy systems.
• AI-Augmented Development: Familiarity with AI-prompt engineering for software development and the ability to validate AI-generated outputs for security vulnerabilities and logic errors.
• Analytical Reasoning: Advanced problem-solving skills with the ability to translate complex user requirements into robust technical specifications.
• Communication: Strong verbal and written communication skills for interfacing with both technical staff and non-technical administrative stakeholders.
• Data Standards & Privacy: Expert knowledge of quality data collection and data privacy regulations. Must be well-versed in FERPA, GDPR, and NYU-specific data handling procedures to ensure legal and institutional legitimacy.