Top Data Manager Jobs in Sydney

The Senior Manager leads AI pre-sales, overseeing a team to design and deliver POCs, partnering with sales for AI integration.

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

The Data & Reporting Manager will transform data into insights for sustainability strategies, manage data entry teams, ensure accurate data reporting, and deliver compliance reports for government operations.

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

Lead Data Platform teams to enhance the data architecture, oversee data governance, manage product lifecycle, and ensure secure, scalable data access for internal users.

The Senior Product Manager will lead the Data Products portfolio, manage data engineers and data scientists, and create actionable insights for customers by utilizing data from Culture Amp products.

Drive growth through partnerships in the ANZ region, executing GTM strategies and fostering relationships with stakeholders, while tracking performance.

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

Lead and mentor a data engineering team, own the strategy for Mable's Data Intelligence Platform, and ensure data quality and governance while aligning data capabilities with business goals.

As a Senior Data Manager, you will lead data governance, integrity, and analytics for a strategic transformation program in maritime sustainment. Responsibilities include overseeing data architecture, enabling analytics, and implementing data quality improvement plans while collaborating with various stakeholders.

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

Manage relationships with key clients, ensuring product adoption and driving growth. Develop tailored success plans, facilitate training, and advocate for customer needs internally.

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