Business Intelligence (AI) Coordinator
Role details
Job location
Tech stack
Job description
Help shape the future of AI-enabled business operations at Thomas & Hutton. As a Business Intelligence (AI) Coordinator, you'll support the coordination, communication, reporting, and implementation of companywide AI initiatives that improve efficiency, decision-making, and project delivery. This role will serve as a liaison between AI leadership, IT, Project Managers, Developers, and business operations teams to help move our AI Initiatives Roadmap forward., * Help with coordination of AI initiatives across departments, including AI leadership, IT, Project Managers, Developers, and business operations teams
- Support the implementation and tracking of the company's AI Initiatives Roadmap
- Schedule meetings, prepare agendas, document action items, and follow up with stakeholders to keep initiatives moving forward
- Assist with reporting, dashboards, status updates, and executive summaries related to AI projects and business intelligence efforts
- Gather, organize, and share information across teams to support clear communication and alignment
- Help translate business needs, workflow challenges, and operational opportunities into actionable AI or process improvement initiatives
- Support data collection, validation, analysis, and reporting efforts tied to AI and business intelligence projects
- Assist with evaluating AI tools, use cases, workflows, and implementation progress
- Prepare presentations, summaries, and communication materials for leadership and cross-functional stakeholders
- Help identify opportunities for workflow automation, process improvement, and more effective use of business data
- Assist in the collaboration with internal teams to promote adoption, understanding, and responsible use of AI-enabled tools
- Maintain project tracking tools, documentation, and shared resources related to AI initiatives
Requirements
- Bachelor's degree in Business Administration, Data Analytics, Business Analytics, Information Systems, or a related field
- 0-3 years of professional or internship experience in business intelligence, data analytics, project coordination, operations, technology, or a related field
- Interest in AI, business intelligence, workflow automation, and data-driven decision-making
- Experience with or exposure to AI-assisted data analysis tools such as ChatGPT, Microsoft Copilot, Claude, or similar platforms
- Familiarity with prompt engineering and practical AI use cases in a business environment
- Working knowledge of data analysis tools such as Excel, Tableau, SQL, Python, R, or similar platforms preferred
- Strong organizational skills with the ability to manage multiple assignments, deadlines, and stakeholders
- Strong written and verbal communication skills, including the ability to translate technical or analytical information into clear business updates
- Ability to create reports, presentations, dashboards, or summaries that support leadership decision-making
- Collaborative mindset with the ability to work effectively across IT, operations, project management, technical, and leadership teams
- Strong attention to detail and commitment to data accuracy, documentation, and follow-through
- Interest in process improvement, performance management, business planning, and operational efficiency
- Experience with digital collaboration or project tracking tools such as Notion, Trello, Microsoft Planner, Teams, or similar tools preferred
- Ability to exercise sound judgment, discretion, and professionalism when working with company data, internal processes, and emerging technology
Benefits & conditions
- Competitive salary plus performance bonus
- Condensed work schedule for better work-life balance
- Top-tier health, dental, vision, and prescription coverage
- 401(k), generous PTO, holidays, and tuition assistance
- Thomas & Hutton University training programs
- Opportunity to support companywide innovation, technology adoption, and operational improvement
Schedule:
On-site: Monday-Thursday 7:30 a.m.-5:30 p.m.; Friday 7:30 a.m.-11:30 a.m.