AI Business Systems Analyst

Role: AI Business Systems Analyst 
Location: Beverly, MA.

Let’s create our future together at The AES Group!

About The AES Group
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.

Position Overview
The AI Business Systems Analyst will drive and execute the complete lifecycle of AI initiatives while serving as a key integration contributor connecting AI capabilities with core enterprise technology platforms.

This role bridges AI strategy and operational execution, ensuring AI solutions deliver measurable business value and integrate effectively with existing enterprise systems and processes.

Key Responsibilities

• Drive the full AI initiative lifecycle, from intake and feasibility assessment through integration, deployment, and post-launch optimization, ensuring measurable business value and enterprise alignment.
• Facilitate cross-functional collaboration among business stakeholders, IT teams, and developers, coordinating UAT, defect tracking, and user readiness throughout the SDLC.
• Identify, evaluate, and document RPA automation opportunities where AI may not be the appropriate solution, and coordinate implementation using platforms such as UiPath or Automation Anywhere.
• Translate business and SME input into structured AI workflow documentation, data-flow architecture, and requirements specifications, with alignment to Salesforce.
• Contribute to KPI dashboards and performance reporting using Power BI, Tableau, Advanced Excel, and SQL, supporting AI-assisted analytics such as predictive insights and anomaly detection.
• Execute pre- and post-deployment testing to validate operational viability, data integrity, user readiness, and compliance.
• Track AI capabilities and performance to support continuous improvement and optimization.
• Develop and maintain scalable AI workflow documentation, integration standards, and technical specifications to support knowledge continuity across teams.
• Translate complex technical concepts into clear, actionable business language while facilitating stakeholder engagement across multiple parallel AI initiatives.

Required Qualifications

• 2 years of hands-on experience as an AI-focused Business Analyst, with direct and demonstrable involvement in AI initiatives, RPA automation, and enterprise digital transformation.
• Proven ability to translate complex technical concepts into clear, actionable business requirements and recommendations.
• Candidates without direct AI project experience will not be considered.
• Hands-on experience with RPA platforms such as UiPath, Automation Anywhere, or equivalent.
• Working knowledge of Salesforce CRM and cross-platform enterprise integration.
• Proficiency in Power BI, Tableau, Advanced Excel, and SQL, with the ability to develop KPI dashboards and translate data into actionable business insights.
• Strong collaboration and communication skills with the ability to bridge technical and business teams.
• Experience supporting SDLC deliverables using tools such as Jira, Confluence, and Azure DevOps.
• Bachelor’s degree in Artificial Intelligence-related fields, AI Business Strategy, Data Science, Machine Learning, Business Administration, Information Systems, or a related discipline, combined with relevant AI experience.

Preferred Qualifications

• AI or data analytics certification, or equivalent experience demonstrating the ability to evaluate when AI is and is not the appropriate solution.
• RPA certification in UiPath, Automation Anywhere, or equivalent, along with hands-on implementation experience.
• Ability to recommend RPA or workflow automation when AI is not the right fit.
• Experience with complementary automation solutions, including:
  • Business rules engines
  • Workflow automation
  • Process modeling
  • BPMN 2.0
  • UML
  • Lean process mapping
• Exposure to cloud-based AI and automation platforms such as:
  • Microsoft Azure AI
  • AWS Machine Learning
  • Google Cloud AI
• Prior experience in customer experience, contact center, or enterprise technology environments, supporting AI and automation solution design from the business side.
• Familiarity with data governance, data lineage, and compliance considerations within complex AI and automation environments.