Business Data & AI Architect Lead

Job Title Business Data & AI Architect Job Description About Us Rabobank is the world’s leading specialist in food & agribusiness banking. One of our key strengths lies in our people who have a deep understanding of agriculture & are committed to adding long-term value for clients. Our commitment to our employees & clients is at the heart of everything we do. About the role: Rabobank’s ANZ COO Domain has established a new ANZ Data & AI Office to accelerate the RANZ Data & AI Strategy & connect data needs across the region. We have an outstanding opportunity for a Sydney-based Business Data & AI Architect to play a pivotal & strategic role transforming Rabobank ANZ into a data-driven, AI-enabled organisation This is not a traditional technology architecture role - it's a business-facing position at the heart of transformation. Partnering closely with Regional and Enterprise Architecture - while remaining firmly business-focused - you will operate at a critical stage of data & AI maturity, shaping the foundational architecture, disciplines, & artefacts needed to move from fragmented, siloed data practices to a cohesive operating model. Acting as the bridge between business intent & technical delivery, you will define what data is needed, what it means, & how it aligns to strategic objectives - translating this into clear requirements for technology & delivery teams. This senior, business-facing role will see you engage leaders, align stakeholders, & establish a consistent data language that underpins high-quality data products, analytics, AI solutions, & data-driven decision-making. Top Role Responsibilities & Accountabilities: Regional Data Architecture Blueprint: Develop, own, & maintain the Regional Data Architecture Blueprint, the strategic artefact that defines RANZ’s data landscape, domain structure, data flows & governing principles Maintain the blueprint as a living artefact, updated as strategy, structure & technology evolve Business Object Model & Data Domains: Connect strategic business objectives to data needs through a Business Object Model, & define the data domain structure that organises data ownership, stewardship & governance Engage senior stakeholders to translate strategic priorities & decision-making requirements into a coherent model of data needs Data Ontologies & Data Modelling: Develop logical data models as the implementation agnostic bridge between business requirements & physical design Establish & apply data modelling standards across the region Business Data & AI Requirements Curation: Be the primary interface between business teams & the RANZ Data & AI Office for identifying, structuring, & translating data & AI requirements into actionable specifications Translate business requirements into structured specifications (e.g. data entities, attributes, quality specifications, timeliness expectations, access needs, training & interference data needs etc) for engineering & delivery teams Enterprise Architecture Partnership: Align Business Object & Data Domain models with capability frameworks & operating model design Embed the Data Architecture Blueprint across Business & Technology Architecture (applications, integration, platforms) Represent data in Regional Architecture forums, promoting a ‘data by design’ approach in key decisions Partner with stakeholders to deliver data architecture that supports sustainable outcomes & responsible AI Mentor & support stakeholders to build internal data capability To be successful, you will have: 10+ years’ experience in Data Architecture or similar Strong business-facing experience (ideally within banking/financial services, other regulated industry or complex operational environment) Proven ability to translate business needs into data models & specifications Deep understanding of data domains, ontologies & logical modelling Experience supporting data products & AI/ML use cases Excellent communication skills with the ability to simplify complex concepts Confident engaging & influencing senior stakeholders What Sets You Apart: Experience building data architecture capability from a low maturity baseline The ability to connect how the bank operates with how data should be structured Experience shaping & overseeing how data is designed & used Strong workshop facilitation skills across business & technical teams Our Values Rabobank Australia values inclusion, belonging, & positive experiences for all. Our work environment, our benefits, & the way we live our values, “Client Driven”, “Responsible”, “Professional” & “Cooperative” make it a great place to work. We welcome applicants from diverse backgrounds. Please let our Talent Acquisition team know if you need any accommodations to make our opportunities more accessible to you