Job Description:
• Support client-facing advisory engagements focused on data architecture, analytics modernization, and AI readiness
• Conduct market research and competitive analysis related to data platforms, analytics ecosystems, and AI adoption in higher education.
• Develop structured evaluation frameworks for assessing institutional data maturity, analytics capabilities, and AI readiness.
• Produce executive-level research deliverables including Guides, white papers, market landscape analyses, and presentation materials.
• Translate complex technical concepts into clear, actionable insights for executive audiences.
• Analyze trends in data architecture modernization (e.g., cloud data platforms, governance models, integration strategies).
• Evaluate emerging AI use cases in higher education, including student success, operational efficiency, and academic innovation.
• Assess vendor ecosystems, product capabilities, and implementation approaches across the market.
• Design and implement automation tools to improve research workflows, data collection, and knowledge management.
• Build AI-enabled analyst tools (e.g., structured prompt libraries, summarization workflows, market intelligence dashboards).
• Identify opportunities to leverage generative AI and automation to enhance productivity and insight generation.
• Contribute to firm-wide knowledge systems and scalable research infrastructure.
• Contribute to published research and public-facing insights
• Present at industry conferences and webinars
• Participate in client discussions and vendor briefings; represent the Data & AI practice professionally
Requirements:
• Bachelor’s degree in Data Analytics, Information Systems, Public Policy, Higher Education, Business, Computer Science, or a related field.
• Four (4) or more years of experience in management consulting, strategy, analytics, market intelligence, or related fields.
• Demonstrated ability to conduct structured market research and synthesize findings into executive-ready materials.
• Strong analytical and critical thinking skills.
• Experience working with data tools (e.g., Excel, SQL, Python, BI tools) or comparable analytics environments.
• Experience with LLM-enabled workflows (prompt design, evaluation methods, retrieval-augmented generation concepts)
• Strong written and verbal communication skills with the ability to translate technical concepts for non-technical stakeholders.
• U.S.-based and eligible to travel domestically
• Preferred Experience in higher education technology environments, or public sector advisory.
• Familiarity with data architecture concepts (data lakes, warehouses, governance frameworks, integration models).
• Exposure to AI/ML concepts and generative AI tools.
• Experience building automation scripts, workflow tools, or internal productivity systems.
• Knowledge of vendor landscapes within higher education data and analytics ecosystems.
Benefits:
• Flexible paid time off
• 5% 401K matching program
• Equity opportunities
• Incentive and bonus programs
• Up to 16 weeks of paid parental leave
• Flexible spending accounts
• Full-health benefits with base employee coverage fully funded, comprising: Medical, dental, and vision coverage
• Life insurance
• Short and long-term disability coverage
• Income protection benefits
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