Top Data Manager Jobs in Sydney

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

Lead Data Engineering and Analytics teams, design scalable data platforms, drive AI-powered analytics, improve data reliability, and communicate with stakeholders.

This role involves managing data acquisition, building vendor relationships, conducting research, and developing strategic solutions for data insights.

As a Data Product Manager, you will define data model requirements, manage the product roadmap, and collaborate with data teams to enhance consumer engagement and boost subscription growth.

Lead ANZ data partnerships strategy, secure and scale retail/audience/measurement partners, align data and identity solutions with commercial teams, drive partner-led go-to-market, and coordinate cross-functional stakeholders to deliver measurable commercial impact.

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 developing analytical scripts in SQL and Python, collaborating with lawyers and stakeholders, ensuring data accuracy, and creating bespoke data analytics solutions for clients.

Lead strategic Data Science initiatives across corporate areas, manage complex data projects, and enhance decision-making through data-driven insights.

Lead sales for data centre cooling solutions across hyperscalers, colocation, enterprise and EPCs. Build pipeline, manage major deals end-to-end, enforce CRM and forecasting discipline, coach sellers, maintain senior relationships, drive tender quality and margin protection, and ensure account planning and portfolio health.

As Data Product Manager, you will oversee data strategy delivery for Nine's streaming and publishing brands, collaborating with stakeholders to create consumer-centric data products and enhance data-driven decision-making.

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.

Manage market data lifecycle, ensuring effective support for trading and research teams, vendor management, compliance, and reporting.

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

The Data Product Manager will manage the product roadmap and external data sharing while collaborating with data science and engineering teams to enhance model performance and define long-term data strategies for utilities.

The Data Science Manager role involves analyzing consumer behavior through data, improving methodologies, and developing solutions, while collaborating with stakeholders in the APAC region.

Manage and grow a high-performing data and analytics engineering team, ensuring quality, efficiency, and effective collaboration. Drive innovations using AI-assisted tools and maintain operational strength while delivering consistent, high-quality outcomes in a Scrum environment.

The role involves managing client relationships, developing success plans, ensuring product adoption, and presenting metrics to stakeholders while mitigating churn risks.

Oversee mechanical engineering operations at data centres, ensuring maintenance, compliance, contractor coordination, and project support under budget constraints and KPIs.

Manage EHS compliance and safety procedures in data centre operations, conduct audits, incident investigations, and support client reporting and training.

Lead electrical engineering operations teams in data centre management, overseeing maintenance, compliance, budget adherence, and project coordination.

The Product Manager will oversee data product strategy and execution, partnering with teams to enhance personalization, marketing performance, and governance of data products.

Lead and coordinate data-focused projects, manage project timelines, budgets, and risks, ensuring quality and stakeholder satisfaction.

Lead the development and delivery of data products, managing stakeholders, budgets, and cross-functional teams, while driving continuous improvement and team performance.