Top Data Manager Jobs in Sydney

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

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

As a Sustainability Manager, you'll lead data collection and reporting for sustainability initiatives, ensuring compliance, transparency, and driving efficiency in environmental impact.

Lead a multidisciplinary Data and AI team, oversee enterprise data transformation, develop AI/ML models, ensure compliance, and promote data literacy.

The Data Manager oversees daily operations, manages a team, ensures data quality, coordinates processes, and engages in market research in financial services.

The Product Manager will create innovative data products for banks and fintechs while ensuring compliance with regulations and enhancing client experiences using machine learning and analytics.

The Engineering Manager for Customer Data Management will lead the team responsible for the flow of customer data, integration with data platforms, and compliance with data privacy standards, driving analytics and marketing initiatives.

The Senior Product Manager will lead Shippit's data and analytics products, managing the vision, strategy, and execution to enhance customer insights and commercial impact.

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.

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

The role involves developing analytical scripts, collaborating on data solutions, ensuring data integrity, supervising junior members, and presenting findings effectively.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

Lead a team of Data Scientists focused on credit decisioning, collaborate with leadership teams, and implement operational frameworks to scale.

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