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Business Data & AI Architect Lead

Rabobank -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Data modelling
Financial services
AI
Communication skills

Full 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 & 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

Apply Now

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