Job Description & How to Apply Below
Location: Bengaluru
About Officeworks:
Officeworks’ purpose is “we bring big ideas to life at low prices”. We are Australia’s leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print & Create and Geeks2U. We begin with customers—our products and services provide solutions to our diverse range of customers across Australia, from households, students, small to large-sized businesses, governments, and schools.
About the Data and Analytics Function:
By joining the Data, Analytics and AI Hub within Officeworks’ Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. You will support executing the strategy and accelerate the shift to a more digital and AI-native organization. You’ll help build advanced capabilities that sit at the core of how the business understands customers, informs decisions, invests wisely, and delivers measurable value.
The GCC is a critical enabler of Officeworks’ purpose, by providing data-driven insights, trusted analytics, and scalable AI solutions that empower smarter, faster decision making and support sustainable success.
This is a unique opportunity to join as a founding member of a newly established global hub. Early joiners will help shape how data, analytics and AI shape Officeworks, influencing future ways of working, building critical capabilities, and driving the evolution of some of Officeworks’ most important data and intelligence platforms.
These roles are best suited for people who enjoy:
Working in data, analytics and AI disciplines, including data engineering, reporting, advanced analytics, machine learning, governance, and insight generation.
Supporting global initiatives by building scalable, high quality data and AI products.
Enabling business transformation through insight-led storytelling, experimentation, and continuous improvement.
Thriving in an environment where your expertise is valued, your development is intentionally supported, and your work has a visible, meaningful impact on business outcomes.
Why this role exists :
The Data Platform Manager provides strategic leadership and technical oversight for the Snowflake-based Enterprise Data Platform (EDP) and the broader data control plane.
The role exists to ensure that Officeworks’ data infrastructure is scalable, secure, and high-performing, enabling the democratization of data and the seamless integration of AI and machine learning capabilities.
By managing complex delivery teams and vendor relationships, the role ensures that data remains a critical asset for self-serve analytics and enterprise-wide decision-making.
Where you will make a difference:
In this role you will:
Platform Ownership & Strategy:
Own the Snowflake-based Enterprise Data Platform (EDP) and data control plane.
Define and execute the roadmap for data ingestion, transformation, governance, and the enablement of AI, Analytics and Reporting.
Drive the transition toward a self-serve analytics model and the democratization of data across Officeworks.
Operational Excellence & Performance:
Manage SLAs, performance monitoring (including pro-active remediations), and capacity planning to ensure platform security, reliability and availability.
Implement robust cost optimization strategies across EDP/Snowflake and cloud providers (AWS/GCP).
Oversee platform upgrades, security protocols, access management, and data lifecycle policies.
Contribute to DRP & BCP preparedness and execution (if required).
Lead planning and execution to provide a high standard in data hygiene.
Continuous Improvement & Process Transformation:
Lead process improvement initiatives within the Data & AI team to enhance delivery velocity and operational efficiency.
Identify opportunities for automation in data workflows to reduce manual intervention and technical debt.
Establish and maintain high standards for technical documentation and knowledge management.
Delivery & Execution:
Lead a multi-disciplinary team of engineers, architects, and analysts to deliver against the enterprise data strategy.
Manage the…
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