Seconded to the AI Team to partner with business leaders and engineers to translate processes and policies into robust, testable requirements for AI-enabled solutions
Lead structured discovery, mapping current and future state processes, decision points, and escalation paths, producing clear and reusable artefacts
Translate business rules and policy into machine-readable specifications (decision tables, structured requirements, prompt/skill specifications)
Define evaluation datasets, success metrics, and adversarial tests to validate quality, safety, and reliability
Partner with engineers to shape solution options, integrations, non-functional requirements, and test plans
Prepare governance inputs (risk assessment, data classification, access/RBAC, privacy considerations) and track approvals
Plan and run UAT and pilot phases; coordinate training, communications and change activities to drive adoption
Measure and report business impact (time, quality, cost) and agent performance (success and intervention rates)
Maintain a groomed backlog, RAID, and stakeholder communications to ensure alignment and momentum
Requirements
AI first in your approach to work
5+ years’ experience as a Business Analyst (or Product BA) delivering technology-enabled change in complex environments
Outstanding facilitation, requirements elicitation, and documentation skills; able to turn ambiguity into crisp, testable acceptance criteria
Proven experience with AI/automation or data-driven solutions, including defining evaluation sets and measurable outcomes
Working knowledge of enterprise platforms and data (e.g., Power Platform, Azure, ServiceNow, SharePoint/Fabric), APIs/connectors, and identity/RBAC concepts
Familiar with AI governance, risk and compliance processes (privacy, data protection, DLP/labeling)
Comfortable partnering closely with engineers and product owners; excellent communication with senior stakeholders
Growth mindset: curious, pragmatic, and outcome focused
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