Data Products & AI Adoption Lead

About the role

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. Rabobank's ANZ (RANZ) COO Domain is embarking on an exciting transformation with the launch of a new RANZ Data & AI Office. We aim to accelerate the delivery of our RANZ Data Strategy & unlock stronger, more connected data capabilities across the region. As we build this critical capability, we're looking for a Data & AI Products Lead to play a pivotal role in turning strategy into impact. You will drive execution, champion adoption, & clearly articulate the value of data & AI products to stakeholders across the business. This is a unique opportunity for someone who thrives on elevating data maturity within complex environments & is energised by building something meaningful from the ground up. If you want to be at the forefront of shaping how data & AI deliver value for the organisation, this is the role for you. Based in Sydney, you'll report directly to the Regional Head of Data & AI (RANZ). Top role responsibilities: Data & AI Innovation Pipeline, Portfolio Management & Value Tracking Establish & lead the Data & AI Products function, aligned with global Data & AI teams Own the Data & AI initiative portfolio & pipeline, including a structured intake & ideation process for new use cases Pilot & scale solutions that deliver competitive advantage or efficiency gains Monitor emerging Data & AI trends & assess business applicability Deliver clear, executive-ready portfolio reporting on progress & value Data Product Strategy & Design Define & own the RANZ data product roadmap & lifecycle framework Lead discovery & translate business needs into clear data product requirements Ensure data product design aligns with enterprise architecture & data models Collaborate with Analytics & AI teams to ensure data products meet real business needs Own & maintain the enterprise data product catalogue Data Product Delivery Oversee end-to-end delivery of data products, ensuring quality, scope, & timelines are met Partner on data quality, controls, & readiness prior to release Guide data product engineering to ensure scalable, reliable & observable solutions Define & track data product KPIs, driving continuous improvement Maintain accountability for post-launch performance, adoption, & ongoing fit-for-purpose Data & AI Literacy Design & lead the regional Data & AI literacy program Define capability baselines & track measurable uplift across the organisation To be successful you will have: 10+ years' experience in a data, product or analytics/AI leadership roles in financial services or similarly complex regulated environments Proven ability to translate business need into well-defined data products Demonstrable track record building & presenting compelling business cases to senior stakeholders Exceptional relationship-building & collaboration skills, with the ability to work effectively across local & global teams Working knowledge of data product design principles & practices (including familiarity with modern data architecture concepts) Working knowledge of Microsoft Azure data platform (including Fabric) Working knowledge of modern analytics & AI/ML approaches (including GenAI & agentic systems) Solid grounding in data engineering concepts to lead & oversee technical teams is preferred - without requiring hands on engineering expertise

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Job Title Data Products & AI Adoption Lead Job Description

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