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 organisation. 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 Technical Delivery Lead provides the technical leadership required to turn analytics, data science, and AI opportunities into practical, reliable, and scalable solutions. Based in our India hub, the role works across business, analytics, data, and technology teams to shape the technical delivery approach, confirm data and platform requirements, and ensure solutions are production-ready and supportable. This is a specialised technical leadership role, requiring a deep understanding of data, modelling, and delivery to connect business intent with technical execution.
Where you will make a difference:
In this role you will:
Technical Delivery Leadership:
- Lead the technical delivery approach for analytics, data science, AI, and data-enabled initiatives.
- Translate business problems and analytical requirements into practical technical delivery plans.
- Identify data, platform, integration, and reporting components required to deliver high-value solutions.
- Ensure technical delivery remains aligned to business outcomes, success measures, and operational needs.
- Provide technical guidance to squads and priority initiatives requiring advanced analytics or AI capability.
Data, Analytics & AI Delivery Support:
- Coordinate end-to-end delivery activities by working with Data Scientists, Analysts, and AI/Data Engineers.
- Confirm data availability and governance, ensuring that required data is fit for purpose and appropriately managed.
- Support model production readiness by coordinating technical inputs across distributed teams.
- Identify technical dependencies and risks early, including data quality issues and integration constraints.
- Ensure outputs can be operationalized, monitored, and supported in a production environment.
Quality, Controls & Production Readiness:
- Embed quality assurance and monitoring into the delivery lifecycle to support robust analytics and AI governance.
- Enforce the use of trusted data sources, approved tools, and appropriate security…
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