Compensation Systems Intelligence Intern

• Design and prototype structured data pipelines that unify compensation data, labor market insights, and job architecture frameworks
• Build intelligent systems leveraging Enterprise GPT and retrieval-based architectures to support compensation decision-making
• Automate repeatable workflows such as market pricing analysis, job evaluation insights, and executive briefing preparation
• Create orchestration frameworks that standardize compensation processes and reduce operational cycle time
• Integrate dashboards and reporting systems to deliver scalable, executive-ready insights with improved transparency and governance
• Build Compensation Intelligence Infrastructure: Design and implement structured data pipelines connecting compensation systems and external labor market data
• Develop scalable data models, query frameworks, and metadata standards to enable system interoperability
• Improve data lineage, structure, and accessibility to support AI-enabled tools and reduce manual reconciliation
• Develop Intelligent Systems & Workflow Automation: Prototype and deploy AI-enabled systems using Enterprise GPT and retrieval-based architectures
• Automate recurring compensation workflows to improve efficiency and consistency
• Design standardized orchestration frameworks that reduce operational burden and improve decision speed
• Enhance Data Storytelling & Executive Insight Delivery: Integrate reporting systems using structured query layers and standardized output formats
• Automate generation of executive-ready summaries from structured datasets
• Improve reporting reproducibility, transparency, and scalability for senior leadership decision-making

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, AI, or a related field
• Strong proficiency in Python and SQL
• Experience building applied AI systems (e.g., RAG, agentic workflows, LLM-based applications)
• Experience in data modeling and structured pipeline design
• Experience integrating APIs and enterprise datasets (preferred)
• Familiarity with graph databases such as Neo4j (preferred)
• Interest in workforce analytics, labor economics, or compensation strategy (preferred)
• Ability to design scalable systems within enterprise constraints
• Strong analytical and structured problem-solving skills
• Ability to translate ambiguous business challenges into technical solutions
• Clear communication skills, especially when explaining technical concepts to non-technical stakeholders
• High ownership mindset with a strong builder mentality
• Ability to adapt to shifting priorities and independently structure daily work
• Professional collaboration with cross-functional stakeholders
• At least 18 years of age
• Legally authorized to work in the United States
• Must be actively enrolled in a Bachelors or Graduate degree program

• Experience integrating APIs and enterprise datasets
• Familiarity with graph databases such as Neo4j
• Interest in workforce analytics, labor economics, or compensation strategy

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location