[Hiring] Industry Analyst, Data & AI @MGT

Role Description

MGT is seeking an Industry Analyst, Data & AI to support client advisory engagements and market research focused on data architecture modernization, analytics strategy, and AI readiness within the higher education sector. This role combines advisory research, market intelligence, automation and AI tool development, and client-facing engagement.

This role blends strategic research, structured analysis, and applied AI capability development. The Industry Analyst will contribute to executive-level deliverables, develop evaluation frameworks for institutional decision-making, and build automation tools and AI-enabled workflows that enhance analyst productivity and expand MGT’s market intelligence capabilities.

This is an ideal opportunity for a highly analytical, systems-oriented professional who is passionate about data, AI, and the evolving higher education landscape.

Qualifications

• 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.

Requirements

• 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.

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.