Business Analyst – AI and Digital Product Delivery [AQ-20669]

Job summary

Own assigned AI and automation use cases from requirements refinement through implementation, testing, launch, and stabilization, coordinating business, product, technology, content, and implementation partners. Evaluate AI outputs and business readiness, manage risks and dependencies, support UAT and training, and use reporting and user feedback to improve workflows and adoption.

Job details

Aquent is partnering with a leading Canadian retailer, a prominent name in its industry, on a groundbreaking and highly visible AI transformation. This initiative is fundamentally reshaping how e-commerce product content is created, evaluated, approved, and published, setting new standards for efficiency and innovation. This is an exceptional opportunity to join a team at the forefront of digital evolution, contributing to a project that will have a significant and lasting impact on how millions of customers interact with products online. We are seeking a dynamic and hands-on professional to join our client’s team, playing a pivotal role in bringing cutting-edge AI solutions to life. This position sits at the exciting intersection of Business Analysis, digital product delivery, AI/automation, and change management. You will be instrumental in ensuring that these advanced solutions not only function flawlessly from a technical standpoint but are also deeply understood, trusted, and successfully adopted by the business teams who will leverage them daily. If you thrive in complex digital transformation environments and are eager to gain deep, practical experience in deploying enterprise AI solutions into production, this is your chance to make a tangible impact and drive significant change. What You’ll Do Quickly build a comprehensive understanding of a complex AI transformation program already in progress, including existing requirements, documentation, workflows, stakeholders, and dependencies. Partner directly with business teams to refine, validate, and prioritize requirements across multiple AI and automation use cases. Understand current business processes and identify how AI-enabled workflows will change the way teams operate. Identify gaps between business needs, technical requirements, proposed solutions, and actual user workflows. Translate complex business needs into clear requirements, user stories, acceptance criteria, process documentation, and implementation plans. Work closely with Product, Technology, Content teams, and third-party implementation partners to keep work moving toward launch. Independently own assigned use cases and drive them through refinement, validation, implementation, testing, and business readiness. Support AI output evaluation and help identify quality issues, exceptions, business rules, guardrails, and situations requiring human review. Coordinate User Acceptance Testing (UAT), gather business feedback, identify defects and gaps, and help determine whether solutions meet business expectations. Manage dependencies, risks, decisions, action items, milestones, and timelines across concurrent workstreams. Use Excel, Power BI, dashboards, and operational reporting to monitor progress, identify trends, and communicate findings. Provide clear updates to business partners, Product leadership, and senior stakeholders. Identify adoption risks, workflow gaps, training needs, and potential resistance as new AI capabilities are introduced. Help business users understand AI capabilities and limitations, including when outputs can be trusted and when human review is required. Support business readiness through training materials, Standard Operating Procedures (SOPs), communications, user education, and change-management activities. Gather feedback following implementation and identify opportunities to improve AI outputs, workflows, processes, and user adoption. Support the transition from implementation into go-live, stabilization, and future phases of the product. What You’ll Bring Experience working as a Business Analyst, Product Analyst, Product Owner, Product Manager, or similar hands-on digital product/delivery professional. Demonstrated experience gathering, clarifying, documenting, and validating requirements for complex technology or digital initiatives. Experience working directly with business users as well as technical or delivery teams. Experience supporting digital products or technology initiatives through requirements, testing/UAT, implementation, and go-live. Practical exposure to AI, Generative AI, Large Language Models (LLMs), automation, or AI-enabled business solutions. Understanding of the importance of AI output quality, validation, business rules, guardrails, exceptions, and human review. Experience supporting technology adoption, change management, training, process change, or business readiness as part of a digital implementation. Experience working within Agile delivery environments and familiarity with user stories, backlogs, acceptance criteria, sprint delivery, and release readiness. Ability to manage multiple workstreams, stakeholders, priorities, and dependencies simultaneously. Strong analytical skills with experience using data and reporting to identify issues and communicate progress. Excellent written and verbal communication, including the ability to make complex technical concepts understandable to business audiences. Confidence in asking questions, challenging assumptions appropriately, raising risks, and recommending next steps. Ability to independently navigate an established project, absorb existing documentation, and become productive quickly. Experience with Jira, Confluence, Azure DevOps, or comparable product/delivery tools. Strong Excel skills. Nice to Have Ecommerce or retail experience. Product content or content operations experience. PIM, PCM, DAM, CMS, or related content-management platforms. Power BI. Prompt engineering or prompt optimization. AI evaluation or AI-generated content experience. Formal change-management methodology or training experience.

What you’ll do

Own assigned AI and automation use cases from requirements refinement through implementation, testing, launch, and stabilization, coordinating business, product, technology, content, and implementation partners. Evaluate AI outputs and business readiness, manage risks and dependencies, support UAT and training, and use reporting and user feedback to improve workflows and adoption.

Requirements

The role requires hands-on experience in business or product analysis for complex digital initiatives, including requirements, Agile delivery, testing, implementation, and collaboration with business and technical teams. Candidates should have practical exposure to AI or automation, change management and adoption, strong analytical and communication skills, Excel proficiency, and familiarity with tools such as Jira, Confluence, or Azure DevOps.

Listed skills

• Power BI · Preferred
• Change Management · Preferred
• Microsoft Excel · Preferred
• Business analysis · Preferred
• Requirements gathering · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Business Analysis
• Requirements Gathering
• Requirements Documentation
• Agile Delivery
• User Stories
• Acceptance Criteria
• User Acceptance Testing
• AI and Generative AI
• AI Output Evaluation
• Change Management
• Business Readiness
• Stakeholder Management
• Process Documentation
• Excel
• Power BI
• Jira and Confluence

Job areas

• Technology
• Data & Analytics
• Retail
• Management & Leadership
• Consulting