Law School Admission Council (LSAC)

Security Analyst

• Improve, manage, and provide direction re: LSAC Security Policies, Procedures, and Best Practices and maintain and enhance the formal Security Systems Program.
• Assist in the Development of effective Cybersecurity policies to address existing and future threats such as AI computer policies, data governance and compliance.
• Perform IT Security inspections, tests, system level audits and reviews of existing IT software and hardware to support and conduct the annual reviews to ensure compliance with SOC2, IT and Financial Audits, PCI/DSS, etc.
• Evaluate and recommend new Security products and services (hardware and software).
• Consult, monitor, and report on Security systems, e.g. such as intrusion prevention and detection systems, VPNs, and firewalls.
• Perform network and system vulnerability scans and penetration testing on workstations, servers, network devices, and other computer systems and work with appropriate groups to close Security gaps.
• Develop and support the development of automated tools that analyze the Security violations found in access control logs to discover patterns and evidence of problems.
• Provide consultation and assistance to Infrastructure, Executive Staff, and other staff from other departments relating to information and systems Security.
• Maintain a high level of confidentiality in identifying and aiding in resolving Security issues.
• Monitor the networks and websites for the proper Security procedures, software configuration, and signs of compromise or attempted compromise.
• Actively promote and enhance Security Awareness programs to LSAC staff and partnering with the Human Resources Department.
• Participate in all Information Security projects and attend meetings to provide input and recommendations on issues that have an impact on LSAC’s Security infrastructure.
• Evaluate and recommend solutions to current or potential Security threats as they relate to the data and computing environment.
• Participate as a member of the Security Incident Response Team and Test Security Task Force.
• Respond to Security incidents providing critical documentation and consultation by preserving all records indicating changes made to access control lists to facilitate investigations, as well as involvement to the response, root cause analysis, and implementation of a solution.
• Keep abreast of the trends and issues in the industry related to Computer Security.

Senior Cybersecurity Analyst

Engineer

• Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications
• Support product teams by advocating for their needs and providing constructive guidance
• Build and maintain scalable full-stack applications
• Continuously monitor, test, and optimize software
• Deliver high-quality code and hold the team to the same standard through code review and mentoring
• Drive organizational Gen-AI adoption: build and execute a structured enablement roadmap that moves the engineering organization from awareness to competency

Lead Engineer – Assessments Applications

• Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications.
• Collaborate across areas to ensure application reliability and coding to architectural standards.
• Support product teams by advocating for their needs and providing constructive guidance.
• Provide the glue across dependent teams to ensure technical dependencies are planned for and addressed in a fast-paced environment.
• Connect with developers within your team to coach, inspire, and foster a continuous learning environment.
• Build and maintain scalable full-stack applications.
• Continuously monitor, test, and optimize software.
• Collaborate with software engineers, the Software Development Manager (SDM), analysts, and stakeholders to deliver solutions that meet or exceed customer expectations.
• Contribute as part of the team by leveraging continuous delivery methods and test-driven development to frequently deliver new functionality.
• Deliver high-quality code and hold the team to the same standard through code review and mentoring.
• Work to scale software to support dynamic teams in a fast-paced environment.
• Be a contributor of knowledge to the team by reviewing code, sharing experience, and listening.
• Champion and govern team-wide use of GitHub Copilot – establish prompting standards, review AI-generated code for security and quality, track productivity metrics, and coach developers on effective, responsible use of AI-assisted development.
• Drive organizational Gen-AI adoption: build and execute a structured enablement roadmap that moves the engineering organization from awareness to competency, delivering workshops lunch-and-learns, hands-on labs, and reference implementations that make AI tooling tangible and accessible for developers at all levels.
• Coach and mentor engineers on Gen-AI practices, provide 1:1 and team-level guidance on integrating AI into daily workflows including AI-assisted coding, AI-augmented code review, AI-accelerated test generation (unit, integration, regression), and effective use of AI in debugging and documentation.
• Help engineers build critical evaluation skills for vetting AI-generated output.
• Act as internal AI change agent. Identify adoption blockers, measure team AI maturity over time, gather feedback from engineers and stakeholders, and continuously iterate on enablement programs; evangelize Gen-AI success stories across the broader Technology Solutions and Platforms organization.
• Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs including chat interfaces, document summarization, intelligent search, and automated content generation.
• Design and maintain Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.g., Azure AI Search, Pinecone, pgvector) with enterprise data sources to ground model outputs in authoritative content.
• Lead prompt engineering efforts; craft, version, evaluate, and iteratively refine system prompts, few-shot examples, and chain-of-thought strategies to maximize accuracy and safety.
• Establish and enforce responsible AI practices, bias evaluation, content filtering, PII redaction, audit logging, and compliance with LSAC data governance standards for all AI-powered features.

Lead Engineer – Prep and Driver Applications

Solutions Engineer

• Lead the design and hands-on implementation of Azure-based solutions
• Author production code (.NET Core, React, services, APIs)
• Define and enforce patterns by building reference implementations
• Design and build CI/CD pipelines and developer tooling
• Stand up the production-support at scale: observability and SLOs, alerting
• Partner with the SRE team and support engineering to operationalize these patterns
• Lead the response to high-severity production issues
• Design and implement microservices and APIs with thoughtfully defined contracts
• Communicate architectural decisions, trade-offs, and risks clearly in writing and verbally

Solutions Architect

Product Manager

• Advocate for delivering an engaging experience that delights users at every step
• Research and collect feedback from internal and external stakeholders
• Develop a holistic view of the user journey
• Work with UI/UX designers and product marketing to design the experience
• Translate desired experience into roadmap items and actionable user stories
• Lead a cross-functional team to build and iterate on user experience
• Keep up to date on industry standards and innovations
• Provide demonstrations and presentations of products and experiences

Data Engineer

• Define and maintain enterprise-wide data architecture, including conceptual, logical, and physical data models
• Establish data standards, architecture principles, and best practices
• Develop and evolve the organization’s data strategy aligned to business objectives
• Lead migration and modernization of on-premises Oracle platforms to OCI and Azure
• Architect scalable, resilient solutions using Azure SQL Database, SQL Server, Elastic Pools, and Cosmos DB
• Drive adoption of cloud-native and hybrid data design patterns
• Design and oversee data pipelines using Azure Data Factory and modern ETL/ELT frameworks
• Enable efficient data ingestion, transformation, and delivery across operational and analytical systems
• Ensure reusability and scalability of data services and pipelines
• Define and implement strategies for partitioning, indexing, and query optimization
• Ensure high availability, disaster recovery, and backup architectures
• Monitor and optimize performance, cost, and reliability across environments
• Establish and enforce enterprise data governance, data quality, and security frameworks
• Ensure compliance with regulatory and organizational standards
• Promote data stewardship and ownership across the organization
• Evaluate emerging technologies and recommend improvements to the data ecosystem
• Provide architectural guidance and mentorship to data engineers, DBAs, and developers
• Foster a culture of innovation and continuous improvement
• Partner with business leaders, analytics teams, and application owners to align data solutions with business needs
• Translate complex technical concepts into actionable business insights
• Support enterprise initiatives involving analytics, reporting, and AI/ML readiness

Senior Cybersecurity Analyst

Lead Engineer – Assessments Applications

Lead Engineer – Prep and Driver Applications

Solutions Architect

Product Manager

Data Architect