# Technical Business Analyst - AI > Datacom · Auckland, New Zealand (Hybrid) · Full-time · Posted 2026-04-30 **Workplace:** hybrid **Department:** App Shared Services ## Description **Our purpose** Here at Datacom, we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in. ### About the Role As technology evolves at an unprecedented pace, Datacom is looking for a **Technical Business Analyst with a strong AI focus** to bridge the gap between cutting-edge AI capabilities and real-world business outcomes. You will play a pivotal role in shaping AI-driven solutions, ensuring intelligent systems are designed, documented, and delivered with precision, clarity, and measurable business value. ### What You'll Do ### Requirements Discovery & AI Solution Design - Understand the client's business processes, pain points, and opportunities where **AI and automation** can deliver value - Elicit and document requirements for **AI/ML-powered solutions**, including model inputs/outputs, training data needs, and business rules - Define and document **AI use cases**, including LLM integrations, predictive analytics, intelligent automation, and conversational AI workflows - Map **data flows** between AI models, consumers, and providers across integrated systems ### Documentation & Artefact Creation - Create and manage **JIRA tickets** including: - Acceptance criteria - Implementation details - AI model behaviour expectations and edge cases - Consumer/provider mappings - Document all solution artefacts in **Confluence**, including: - UML sequence diagrams for AI-integrated workflows - Integration design patterns (AI APIs, model endpoints, orchestration layers) - Prompt engineering guidelines and LLM behaviour specifications - Mapping tables, endpoints, and environment configurations - Postman collections for AI API testing - Acceptance criteria for AI model outputs and responses ### AI-Focused Facilitation & Collaboration - Facilitate **workshops and discovery sessions** focused on AI opportunity identification and solution scoping - Lead **3 Amigos sessions** (Dev, Tester, and BA) with an emphasis on AI model validation, bias considerations, and responsible AI outcomes - Collaborate with **Data Scientists and ML Engineers** to translate business requirements into model specifications - Champion **responsible AI principles**, ensuring ethical considerations, explainability, and compliance are embedded into solution design ### Data & Integration Design - Define **data model requirements** to support AI/ML training pipelines and inference outputs - Document HTTP operations, data types, and payload structures for **AI model APIs** - Design and maintain integration patterns connecting AI services to enterprise systems ### Technical Ability ### API & Integration Skills - Create **Swagger/OpenAPI Specifications** for AI service contracts — using Swagger Editor, VS Code, or equivalent - Deep understanding of integration patterns: **REST APIs, SOAP, event-driven architectures** - API contract design and maintenance for **AI model endpoints** (e.g., OpenAI, Azure AI, AWS Bedrock, custom ML APIs) - Error handling patterns for **AI inference failures**, model timeouts, and confidence threshold responses - Experience with **Message Queuing** technologies such as **Kafka** and **ActiveMQ** for AI pipeline event streaming ### AI & Machine Learning Awareness - Working knowledge of **LLMs (Large Language Models)** — including prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning concepts - Ability to document **AI model behaviour requirements** including confidence scoring, hallucination mitigation strategies, and output validation - Understanding of **AI/ML pipeline stages**: data ingestion, preprocessing, model training, deployment, and monitoring - Familiarity with **AI platforms and services** such as: - Azure OpenAI / Azure AI Studio - AWS SageMaker / Bedrock - Google Vertex AI - Hugging Face - Awareness of **AI governance frameworks**, including model explainability (XAI), fairness, and regulatory compliance (e.g., EU AI Act) ### Estimation & Delivery - Provide reliable and traceable **estimates for AI change requests** and solution delivery, accounting for model iteration cycles and data preparation timelines - Design systems from a **functional AI perspective**, producing draft Design documents and leading client reviews through to sign-off - Contribute to **AI solution roadmaps**, identifying phased delivery approaches aligned to business priorities ### Responsibilities As a **Technical Business Analyst (AI Focus)**, your day-to-day activities will include: - Produce drafts of **Requirements and Design documents** for AI-integrated solutions, lead client reviews, and achieve sign-off - Lead the **Analysis and Design stage** for AI initiatives, arranging and facilitating all relevant workshops and communication - Work closely with **Technical Leads, Architects, and Data Scientists**, ensuring they have sufficient understanding of functional requirements to design AI system architecture - Collaborate with **Test Analysts** to define AI-specific testing strategies, including model validation, A/B testing, and output quality benchmarks - Resolve ambiguities raised by **developers and testers** in relation to AI model specifications, communicating with clients as required - Monitor and communicate **scope changes, AI-related risks, and project issues** to Technical Leads and stakeholders proactively - Provide the team with **AI industry best practices**, emerging trends, and governance advice - Contribute to **User Guides and AI usage documentation**, supporting end-user adoption of AI-powered solutions - Ensure all **design and compliance reviews** are completed at required checkpoints, including responsible AI assessments ### Tools & Experience - **Project & Documentation -** Confluence, JIRA - **API Design & Testing -** Swagger/OpenAPI, Postman, SOAP UI - **AI Platforms -** Azure OpenAI, AWS Bedrock, Vertex AI, Hugging Face - **Data & Monitoring -** Splunk, Power BI - **Development Environments -** IntelliJ, Eclipse, VS Code**Source Control**Git, Bitbucket - **Messaging & Streaming -** Kafka, ActiveMQ - **AI/ML Tooling -** LangChain, Prompt Flow, Jupyter Notebooks (awareness) ### Professional Qualities - **5+ years** of experience as a Technical Business Analyst, with demonstrable exposure to **AI, ML, or data-driven solutions** - Strong analytical mindset with the ability to critically evaluate **AI model outputs and business implications** - Exceptional **attention to detail**, particularly when documenting complex AI workflows and edge cases - Deadline-driven with the ability to manage competing priorities in a **fast-paced AI delivery environment** - Excellent **communication skills** — able to translate complex AI concepts for both technical and non-technical stakeholders - Collaborative team player with experience working in **cross-functional Agile teams** - A natural curiosity and passion for **emerging AI technologies** and their practical business applications ### About Datacom With over **6,200 people** across our global offices and an annual revenue exceeding **$1.2 billion**, Datacom is one of Australasia's largest professional IT services companies. We have deep expertise in data centres, IT services, software engineering, application management, and AI-enabled solutions. As AI reshapes industries, Datacom is at the forefront — partnering with clients to design and deliver **intelligent, responsible, and impactful AI solutions**. We are committed to hiring, developing, and promoting the best talent from diverse backgrounds. **We are local at heart, yet world-class in capability.** ## Apply [Apply at Datacom](https://apply.workable.com/datacom1/j/8BF7673FD5/apply) --- Powered by [Workable](https://www.workable.com)