Business Data & AI Architect

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