Top Data Manager Jobs in Sydney

Leads and develops an APAC data analytics team supporting Dynatrace’s Business Insights service. Owns team operations, delivery quality, strategic planning, capacity allocation, customer value, account growth, and executive reporting. Partners with Sales and internal teams to improve customer adoption, renewals, and business outcomes. Serves as an executive escalation point for strategic customers and presents insights during Quarterly Business Reviews.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

Leads and manages an analytics engineering team while setting organization-wide standards for data modeling, governance, observability, and self-service analytics. Designs scalable dbt and Databricks data models, semantic layers, data contracts, and reliable data products integrated with Tableau. Drives CI/CD, automated testing, documentation, pipeline performance, data quality, and cross-functional alignment across engineering, analytics, commercial, product, and data science teams.

Own and govern investment data and platform support for front-office workflows. Manage data quality, security master and reference data processes, coordinate onboarding of securities/benchmarks/market data, partner with State Street and vendors to resolve platform issues, and support testing and implementation of platform enhancements (Charles River, Alpha Data Platform).

Manage multiple concurrent data centre infrastructure projects across the AusPac region from proposal handover through commissioning and closeout. Lead engineering, procurement, logistics, installation, commissioning, contractors, budgets, schedules, risks, quality, HSE, contractual obligations, and customer communications. Coordinate cross-functional teams delivering temporary power, cooling, generators, load banks, BESS, and related critical infrastructure while ensuring safe, timely, profitable, and high-quality execution. Drive issue resolution, stakeholder alignment, continuous improvement, and lessons learned.

Leads enterprise data governance and management initiatives, focusing on data retention, minimisation, access management, regulatory compliance, and risk reduction. Partners with business and technical stakeholders to develop data strategies and roadmaps, deliver Agile data initiatives, monitor control effectiveness, support prioritisation and business cases, report progress, and promote data literacy and best practices.

Lead complex data centre projects and programs from inception through post-project review. Manage client relationships, design, schedules, budgets, risks, safety, environmental requirements, vendors, contracts, reporting, and construction coordination. Review technical plans and specifications, resolve issues, negotiate outcomes, and support marketing and business development. The role requires strong project management expertise, data centre infrastructure knowledge, communication skills, and proficiency with Microsoft tools and Primavera.

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

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

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.

Lead JOLT's ANZ data, insights and measurement capability, owning attribution, audience planning, reporting and vendor relationships. Build AI agents, automations and workflows, translate complex data into commercial recommendations, support Sales and pitches, present to clients, and drive measurement-led commercial growth and innovation across markets.

Leads complex data analytics and AI engagements focused on risk, compliance, assurance, fraud, wage remediation, governance, and data transformation. Manages client delivery, project budgets, timelines, teams, and stakeholder relationships while designing analytics methodologies and presenting business-focused findings. Contributes to proposals, business development, thought leadership, and practice growth. Coaches consultants and develops practical automation and AI-enabled solutions using SQL, Python, Power BI, Microsoft Fabric, and Azure.

Leads the strategic vision, roadmap, commercialization, adoption, and financial performance of Citi’s digital platforms and data services across Australia and New Zealand. Manages CitiDirect, CitiConnect, onboarding, data, and AI offerings; partners with sales and client teams on go-to-market execution; represents client needs; oversees product delivery, enhancements, regulatory compliance, risk, and industry engagement.

Build Anthropic’s relationships with communities surrounding Australian data centres across site selection, construction, and operations. Develop engagement strategies, coalitions, listening sessions, and community benefits; represent the company at public forums and media events; monitor local sentiment and political dynamics; coordinate charitable and economic development commitments; and create scalable engagement processes. The role partners with infrastructure, energy, sustainability, communications, policy, and real estate teams and requires travel up to 50% of the time.

Hunter-style BDM role selling Experian's data quality solutions. Prospect and close new logos and expand existing accounts, manage full sales cycle, run meetings, and tailor solutions including data validation, enrichment, management and single customer view technologies.

Own strategic growth for hyperscale, colocation, and enterprise data center accounts in the Pacific. Build executive relationships, influence early-stage cooling and sustainability design, lead complex cross-portfolio deals (HVAC, BMS, fire, security, digital), align global/regional teams, and maintain pipeline, forecasting, and CRM discipline through contract award and delivery.

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

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

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.

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

Lead APAC sales for Aireon's ADS-B commercial data services: build pipeline, close deals, manage key accounts, represent the company at industry events, provide market feedback, and collaborate cross-functionally to expand product adoption and revenue.

Support the Data Products team to define and deliver data-driven products and an intelligence layer. Collaborate with engineering, data and commercial teams to shape roadmap, drive discovery, delivery, adoption, and continuous improvement of scalable data solutions that create customer and business value.

Lead and grow a Data Engineering team to design, build, and operate a scalable cloud data platform. Own data pipelines, warehouses, orchestration, governance, cost optimization, and cross-team collaboration to ensure reliable, high-performance data for analytics, data science, and product teams.

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