Top Data Manager Jobs in Sydney

Lead the AI pre-sales model, managing a team of architects and engineers to create POCs that enhance revenue and customer adoption.

Lead and develop a high-performing engineering team focused on AI-powered data ingestion and customer intelligence. Drive innovation, manage product development, and ensure technical quality while collaborating across functions.

The role involves strategic data leadership, defining measurement strategies for productivity, leading experimentation, coaching teams, and identifying growth opportunities in product development.

This role shapes and executes QBE's Data & AI strategy, ensuring investments deliver tangible value while managing stakeholder relationships and aligning strategic priorities.

Lead and grow the Sydney analytics capability by turning ambiguous business problems into practical data/AI solutions. Perform ETL, exploratory analysis, build data models, dashboards and reports, lead Agile delivery using Azure DevOps, and mentor junior analysts while engaging stakeholders across technical and non‑technical audiences.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

This role focuses on acquiring new business opportunities and managing existing accounts, emphasizing a customer-oriented sales approach in data quality solutions.

Lead end-to-end delivery of large-scale, mission-critical data centre projects from design through commissioning and handover. Manage schedule, cost, quality, procurement, contracts, stakeholders and project controls across M&E, ICT and live environments to ensure operational readiness and uptime.

The Business Development Manager will focus on acquiring new business opportunities, managing existing accounts, and closing sales of data quality solutions in various industries.

The role involves managing cost plans, pricing individual items, preparing cost reports, assessing tenders and variations, and utilizing digital tools for deliverables.

Manage complex data center projects, lead client interactions, oversee design, safety, budgets, and reporting, ensuring successful project outcomes.

The OFCI Procurement Manager will manage procurement and supply chain for large data center projects, ensuring timely and cost-effective sourcing. Responsibilities include contract administration, vendor negotiations, and risk management while collaborating with construction teams.

The Project Manager will lead project management commissions, ensuring projects meet client objectives, are delivered on time and within budget, and establish effective governance and reporting.

The Technical Account Manager for Data Centres will lead technical engagements, support sales, and ensure solutions meet customer requirements for data centre operations.

The role involves driving storage sales, prospecting new opportunities, managing sales activities, collaborating with teams, and negotiating deals to expand revenue within assigned accounts or territories.

Drive growth in the Data Centre sector by building relationships with operators, consultants and partners; identify customer opportunities; collaborate with technical specialists to develop sustainable water and operations solutions; and contribute to ANZ growth strategy and customer-focused innovation.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

The Key Account Manager will prospect for new business, manage existing accounts, and deliver on revenue targets while leveraging data management solutions.

Lead global account strategy and growth for top-tier data center clients. Build executive relationships, develop and convert a global pipeline, lead complex deal strategy and negotiations, orchestrate cross-regional teams, influence product direction via Voice of Customer, and run executive-level reviews to drive long-term partnerships and revenue.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.