Business Analyst – AI and Digital Product Delivery

Overview

The Opportunity

Aquent is partnering with a leading Canadian retailer on a high-visibility AI transformation that is changing how ecommerce product content is created, evaluated, approved, and published.

The initiative is already underway and approaching an important implementation and go-live period. We’re looking for a hands-on Business Analyst who can quickly understand a complex environment, partner closely with business and technology teams, and help move multiple AI use cases from refinement and validation through implementation, adoption, and launch.

This role sits at the intersection of Business Analysis, digital product delivery, AI/automation, and change management. You’ll help ensure that solutions not only work technically, but are understood, trusted, and successfully adopted by the business teams who will use them.

This could be a strong opportunity for someone who has supported complex digital transformation initiatives and wants deeper hands-on experience bringing enterprise AI solutions into production.

What You’ll Do

• Quickly build an 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 work.
• 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 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, 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, 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.

Why This Opportunity?

• Work on a highly visible enterprise AI initiative at a critical point between development and launch.
• Gain hands-on experience bringing practical AI capabilities into production—not simply experimenting with proofs of concept.
• Work across multiple AI use cases and business functions.
• Gain exposure to AI evaluation, business adoption, human-in-the-loop workflows, and change management.
• Partner directly with Product, Technology, business teams, implementation partners, and leadership.
• Have meaningful ownership and influence over how AI solutions are refined, implemented, and successfully adopted.