Responsible for conducting structured discovery interviews with subject matter experts across programs to capture distributed institutional knowledge
Presents ideas for knowledge organization and process improvement
Synthesizes interview findings into clear, standardized documentation in a centralized repository
Identifies knowledge gaps, inconsistencies, and process inefficiencies across teams
Works closely with functional leads, engineering, and business analysts to understand operational context and translate tacit knowledge into accessible systems
Adheres to program documentation standards and configuration practices
Provides input into onboarding materials and reference guides
Maintains knowledge of program structure, tools, processes, and acronyms across functions
Coordinates with engineering to ensure documentation integrates with operational tooling
Tracks interview coverage, gaps, and progress against consolidation milestones
Collects and documents usage metrics for operational tooling to quantify program impact
Leverages AI tools to accelerate research, synthesis, and documentation drafting; validates how consolidated knowledge integrates with AI assistants and surfaces gaps where outputs need refinements

Currently enrolled in an undergraduate or graduate program with at least one year of coursework completed
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be able to obtain and maintain applicable security clearance
Excellent interpersonal and written communication skills with the ability to translate complex conversations into clear, structured documentation
Ability to synthesize qualitative information from multiple sources into structured written output
Strong organizational and task management skills with attention to detail
Self-motivated with the ability to work across teams and manage relationships with senior staff and subject matter experts
Confidence conducting structured interviews and stakeholder conversations in a professional setting
Hands-on experience with AI tools for research, writing, or analysis; familiarity with prompt engineering and the ability to evaluate AI output quality

Operations Intern

Key skills