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Consumer Strategy and Operations Manager role focused on driving cross-platform growth for Uber Eats in Australia and New Zealand.
Job Responsibility
Own the Eats XLOB workstream: Act as the primary champion for cross-platform growth initiatives, ensuring alignment with Mobility counterparts and driving execution end-to-end
Identify and size XLOB growth opportunities: Use data to understand how consumers move (or don't move) between Eats and Rides. Map the cross-platform journey, identify conversion gaps, and quantify the incremental value of multi-product adoption
Drive strategic recommendations to leadership: Translate complex cross-platform data into clear, actionable strategies. Build business cases for investment in XLOB initiatives and secure buy-in from senior stakeholders across both lines of business
Continuously evolve the XLOB playbook: Test, learn, and iterate on cross-platform growth levers from in-app cross-promotion to bundled value propositions. Play a part in deploying consumer campaigns into the ANZ market, and scale what works into repeatable strategies
Advocate for the ANZ consumer experience: identify pain points and collaborate with cross-functional teams to enhance ease of use, reliability, and satisfaction to make using Uber Eats a delight
Requirements
3+ years of demonstrated high-performing work experience in consulting, strategy, analytics, or operations, ideally spanning multiple product lines or business units
Consistent track record of using data-driven insights to solve complex, open ended problems, which you will have built by leading projects including launching and optimising processes in a fast-paced environment
Strong verbal and written communication. You can craft a compelling business case, and pitch it to senior business leaders, confidently telling a data backed story that helps secure buy in
Strong analytical capabilities and data acumen. You are a natural at sourcing qualitative and quantitative data to help define problems and solutions clearly, with experience dealing with complex data sets using excel (or Google sheets) to derive insights