Sr. Business Development Manager, Storage (Data Foundations), WWSO Data APJC

Description

Are you a storage expert who can build and scale the go-to-market for one of AWS's highest-growth portfolios across Australia and New Zealand? Do you have the technical depth in cloud storage, data transfer, and migration, combined with business development instincts to drive our largest, most complex migration deals and build the motions that scale wins across the region? Do you love building strategic, data-driven businesses and helping customers get their data foundations ready for the AI era? Join the Worldwide Specialist Organization (WWSO) Data & AI team as a Sr. Business Development Manager for Storage, based in Sydney and focused on data foundations across ANZ.

This role builds and scales the AWS storage go-to-market across ANZ, owning the strategy and execution that helps customers modernise their data foundations to be ready for AI and agentic workloads. Storage is the foundation of every large migration and every AI workload from training data, model artifacts, inference pipelines, and the data lakes that power analytics. Data is the context layer that turns generic AI into personalised, differentiated customer experiences; every AI conversation is a data conversation, and this role sits at the centre of it. You will be across all the top migration deals in ANZ ensuring storage is scoped, sized, and funded from day one, spanning S3, EBS, EFS, FSx, Backup, DataSync, Transfer Family, Snow Family, and Storage Gateway, and the networking and data transfer (DTO) that makes large migrations possible. You are accountable for the growth of the ANZ storage business. You will also be the voice of ANZ back to the service team, carrying customer needs to our storage service teams to help reshape service and roadmap strategy.

Key job responsibilities

GTM for storage and data foundations across ANZ — strategy, messaging, positioning, and campaigns across all segments Be across all the top deals — ensure storage is scoped, sized, and funded from day one; own storage sizing, data transfer planning (DTO), and migration sequencing on the largest, most complex opportunities Drive storage pipeline and revenue — activate growth levers including workload placement, data migration, tiering optimisation, and AI-driven consumption Build scalable GTM motions — playbooks, ROI models, and partner enablement that multiply impact beyond one-to-one deals Drive the "storage as the foundation for AI" narrative Be the voice of ANZ to the storage service teams, feeding customer needs and competitive gaps back to product leadership

A day in the life

One morning you're modelling the data transfer economics for a large enterprise migration across Direct Connect and DataSync; midday you're in a CxO briefing positioning S3 as the data lake foundation for an AI initiative and making sure storage is funded in the deal. The afternoon you're building a partner-led storage assessment motion with an SI, reviewing migration pipeline with the ANZ area team, and feeding a feature gap back to the WW Storage service team. You operate across ANZ and every segment, building the strategy and executing it.

About The Team

The WWSO Data & AI team helps customers adopt our newest and most advantageous technologies. We are technology specialists. This role sits on the APJ Data GTM team as the ANZ storage and data-foundations lead, working as an integrated unit with the Database and Analytics teams, account teams, Specialist SAs, and partner teams. Storage is one of the fastest-growing domains in our data portfolio driven by AI consumption, data lake expansion, and large migrations and it can never be an afterthought in a data or AI deal. We value individuals who combine deep technical knowledge with GTM business acumen: people who can size a multi-petabyte migration AND build the business case that funds it. If you thrive where you build the strategy and execute it, this is the role for you.

Basic Qualifications

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience Deep technical knowledge of cloud storage services (object storage, block storage, file systems, backup, archival) and their application across enterprise workloads. Experience in data transfer and migration, understanding of network connectivity (Direct Connect, VPN), data transfer services, and DTO cost modelling for large-scale migrations. Track record of driving multi-million-dollar pipeline and influencing complex, multi-service deals involving storage as a core component. Experience working with large enterprise customers at CxO/VP level, articulating the business value of storage modernisation and data migration.

Preferred Qualifications

3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience Experience with consumer brand experience design and an understanding of storytelling Experience across the full "large data deal" stack including storage + networking + data transfer + migration planning, able to model end-to-end data economics for customers Track record building scalable GTM motions, playbooks, ROI tools, partner enablement Experience working across APJ geo Familiarity with partner-led motions (SI engagement, MDF, co-sell) AWS certifications (Solutions Architect, Storage or Networking Specialty) preferred

Acknowledgement Of Country

In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE Statement

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Web Services Australia Pty Ltd

Job ID: A10503201