Role Title: Analysis Lead – Data & AI Accelerated Modernization for AI
Description: The Analysis Lead – Data & AI Accelerated Modernization for AIis responsible for driving analysis across initiatives that simplify, modernise, and intelligently automate the organisation's data landscape. The role leverages AI-assisted analysis, automated lineage discovery, and GenAI-driven insights to streamline data flows, reduce duplication, and improve data accessibility.
This leader works at the intersection of data, AI, and business transformation — shaping the target-state data ecosystem, accelerating simplification with intelligent tooling, and ensuring analysis outputs power next-generation AI and analytics capabilities.
Key Responsibilities:
* Lead a team of Data Engineers, GenAI practitioners and Business/Data/AI Analysts delivering analysis for data transformation and AI-enabled modernisation initiatives.
* Define analysis strategy that incorporates AI-driven insights, automated metadata discovery, and LLM-assisted documentation. Ensure analysis outputs align with enterprise data, AI, and architecture standards.
* Use Agentic AI-enabled tools for automated lineage mapping, metadata extraction, data quality scanning, and pattern detection.
* Identify high-value simplification opportunities using data profiling augmented by LLMs and machine learning (e.g., duplication detection, data dependency clustering).
* Partner with data engineers and GenAI practitioners / data scientists to ensure simplified data flows enable future GenAI models, agentic workflows, and automation solutions.
* Produce clear, AI-assisted artefacts including lineage maps, canonical models, semantic layer requirements, and data dependency diagrams.
* Define functional and non-functional requirements for GenAI-powered data products, data transformation pipelines, and automation capabilities.
* Facilitate workshops by combining traditional BA discovery techniques with AI-driven insights to accelerate decision-making.
* Communicate complex GenAI and data concepts to non-technical stakeholders, translating them into actionable roadmaps. Present analysis findings, trends, and AI-generated insights to senior leadership and governance forums.
* Integrate LLM powered data governance practices, including automated validation of data definitions and business rules. Implement continuous analysis automation using LLM-based agents for traceability, documentation upkeep, and impact assessment.
Key Skills:
* 12+ years in Business/Data Analysis with experience leading complex data transformation or simplification programs.
* Experience in enterprise cloud environments (AWS, Azure, GCP), particularly with AI-native services and LLMs services.
* Strong understanding of data modelling, domain design, metadata management, and analytic architectures.
* Hands-on experience with Agentic AI/ML or GenAI tools used for analysis, lineage, profiling, or documentation. Ability to translate Agentic AI opportunities into actionable simplification outcomes.
* Excellent communication, facilitation, storytelling, and stakeholder engagement capabilities.
* Experience with AI-driven data platforms, vector databases, feature stores, and semantic layers is a plus.
* Familiarity with data governance frameworks enhanced by GenAI automation and AI agents.
Qualifications
* Bachelor's in Data, AI, Information Systems, Computer Science, or related field.
* Certifications in Business Analysis (CBAP), Data Management (DAMA), Agile frameworks, or Agentic AI/ML fundamentals is a plus.
Location: Sydney, Melbourne, Brisbane, Canberra