Randstad is currently working with a public sector client to find a Data Lead (Insights Platform Assurance) for an initial 12 Month Contract with potential of extension. This role is based in Brisbane CBD with WFH flexibility.
Role: Data Lead (Insights Platform Assurance)
Client Industry: Public Sector...
Location: Brisbane CBD with WFH flexibility
Rates: Open Market Rates
Role Overview:
As the Platform Assurance Lead, you will lead the team responsible for the ongoing operation, optimisation, and continuous improvement of the data platform. You will play a critical role in ensuring platform performance, data reliability, and operational excellence – while driving a culture of proactive improvements and automation. You will be a key enabler of downstream functions such as Insights, Customer Experience, working closely with data engineering, Integration, business stakeholders, and governance teams to ensure seamless data delivery. The role combines strong technical depth with people leadership, platform optimisation, and cross-team influence.
Key Duties:
- Implement, and maintain the organisation's analytics platform (Azure Synapse, ADX, Power BI, EventHub)
- Lead the Insights Operations team to monitor, operate, and continuously enhance the cloud-based data platform. Oversee platform health, cost, security, and performance.
- Own and manage operational support processes (L2/L3), issue resolution workflows, and incident response procedure.
- Lead root cause analysis for significant platform issues and ensure corrective actions are implemented.
- Work with key stakeholders across teams to design and agree on key SLAs for data delivery and ensure they are delivered, tracked and communicated via weekly and monthly data operations report.
- Drive a Continuous Improvement (CI) agenda, including: o Identifying and executing performance tuning opportunities (pipelines, queries, models). o Automating manual processes across monitoring, validation, and maintenance. o Leading the CI backlog and prioritising enhancement opportunities with stakeholders.
- Collaborate with Data Platform Engineering to embed best practices from CI learnings into reusable pattern and platform design.
- Contribute operational knowledge around the impact of change on data operations and ensure delivered risk are identified and communicated with programs
- Influence and guide reporting/analytics teams (Performance Monitoring & Insights) on refresh optimisation and data model efficiency.
- Support release and deployment processes in collaboration with DevOps Engineers.
- Manage platform documentation, knowledge sharing, and technical uplift across the team.
- Support the team’s evolution toward Agile ways of working and service line alignment.
Team Leadership:
- Coach and develop a high-performing team including Data Ops Analysts, Snowflake Specialists, AWS Specialists, and Ops Leads
- Foster a culture of accountability, continuous improvement, collaboration, and operational excellence.
- Build strong collaborative relationships across analytics, integration, cyber security, governance, and business teams
The ideal candidate for this role will possess:
- Significant experience delivering analytics and /or business intelligence projects utilising innovative thinking and the latest technology in data and analytics
- 7+ years in data operations, platform support or data engineering in a 5000 + FTE Organisation
- Proven experience leading Data Operations in cloud-based data environments
- Strong technical knowledge of data platforms (Azure, AWS or similar)
- Solid understanding of performance tuning, pipeline monitoring, and query optimisation
- Proven ability to be agile and work under pressure, show initiative, meet deadlines and priorities, and achieve outcomes in a complex business process, system and technology environments
If interested please hit "APPLY" or email sian.asnicar@randstaddigital.com.au
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
