AI Solution Analyst

About the role

The AI Solution Analyst supports the analysis, development, implementation, and adoption of AI-enabled, digital, and automation solutions that improve business processes and user productivity. This role partners with business stakeholders and technical teams to gather requirements, document business needs, support solution configuration and testing activities, and assist with the delivery of technology solutions.

Responsibilities

• Assist in analyzing business processes and requirements to identify opportunities for AI-enabled, digital, and automation solutions.
• Gather, document, and maintain business, functional, and technical requirements.
• Support process analysis and fit-gap assessments to assist solution design and implementation activities.
• Avoid identifying risks, dependencies, and improvement opportunities and communicate findings to project teams.
• Prepare and maintain documentation including process maps, requirements, use cases, testing materials, and user guidance.
• Collaborate with business stakeholders, developers, architects, data teams, and external partners to support the design and implementation of solutions.
• Support solution configuration, integration, automation, testing, deployment, and implementation activities under guidance.
• Utilize approved AI-assisted tools and technologies to support analysis, documentation, testing, prototyping, and solution delivery activities.
• Aid in troubleshooting solution issues, documenting findings, and escalating complex technical issues to appropriate team members.
• Build relationships with key stakeholders and support user adoption through training, communication, and change management activities.
• Support AI-enabled, digital, data, and automation initiatives while following established technology, security, and governance standards.
• Participate in continuous improvement efforts to enhance operational efficiency, user experience, and business value.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Business, Data Analytics, or related field and/or relevant experience supporting technology-enabled business process improvement.
• 0–2 years of experience supporting business analysis, digital solutions, AI, automation, data analytics, or technology implementations.
• Ability to analyze business processes and identify opportunities for process improvement and technology-enabled solutions.
• Experience gathering, documenting, and maintaining business and functional requirements.
• Foundational knowledge of AI-enabled technologies, digital solutions, automation tools, business applications, and data platforms.
• Foundational understanding of software development lifecycle (SDLC), Agile methodologies, cloud technologies, system integrations, APIs, workflow automation, testing, deployment, and support practices.
• Experience supporting testing, user acceptance validation, implementation, or deployment activities.
• Foundational understanding of data structures, data governance, security, privacy, and responsible AI practices.
• Ability to assess solution options and communicate observations and findings to stakeholders.
• Experience working with cross-functional teams including business users, developers, architects, data teams, and technology partners.
• Strong analytical, organizational, problem-solving, and communication skills.
• Occasional travel may be required (up to 5%).