KPMG New Zealand

Technical Senior Business Analyst, AI

KPMG New Zealand

full-time

Posted on:

Location Type: Hybrid

Location: Auckland • 🇳🇿 New Zealand

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Job Level

Senior

Tech Stack

AzureServiceNow

About the role

  • 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
  • Confidence with LLM/agent concepts (human-in-the-loop, prompt patterns, tool/skill design, telemetry, cost controls)
Benefits
  • Access to the firm's annual incentive scheme
  • Opportunities for local and international secondments
  • Hybrid working across a mix of office, client and home hubs
  • The ability to work from overseas and extend time connecting with friends and family outside New Zealand
  • Flexible leave options, including the ability to purchase additional annual leave
  • Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents
  • A paid professional association membership of your choice
  • Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees
  • A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services
  • Support, allyship and opportunity to join Inclusion, Diversity and Equity Affinity networks (Kiwa, Pride, Ethnicity, Accessibility, Wahine)
  • Opportunity to participate in Green Team activities and firm’s carbon zero by 2030 efforts
  • Invitation to join local Social club with events
  • Paid time off for volunteering and citizenship activities
  • Health and wellness benefits: free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days Wellbeing leave, access to Wellbeing portal

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
business analysisrequirements elicitationdocumentationevaluation datasetssuccess metricsadversarial testsUAT planningdata classificationrisk assessmentAI governance
Soft skills
facilitationcommunicationcuriositypragmatismoutcome focusedstakeholder managementchange managementproblem-solvingcollaborationadaptability