Top Data Jobs in Sydney

Develop machine learning, deep learning, generative AI, LLM, optimization, and big data solutions for consulting clients. Build predictive models, RAG pipelines, conversational assistants, autonomous agents, and simulation models supporting AI-driven digital transformation. The role requires strong statistics, quantitative analysis, Python proficiency, and collaboration with clients and consulting teams.

Design and scale analytics solutions using data science, AI-native workflows, and cloud platforms. Develop models, algorithms, statistical analyses, and reusable AI-enabled approaches using Python and SQL. Evaluate AI-generated outputs, create technical specifications, support engineering delivery, mentor analysts, and improve workflows across distributed global teams.

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

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.

Architect and evolve mission-critical AWS data and integration platforms using event-driven architectures and Kafka. Lead solution design across large-scale projects, ensuring reliability, scalability, security, and alignment with enterprise architecture. Partner with engineering, infrastructure, delivery, testing, and business stakeholders to produce technical designs, functional specifications, controls, data flows, and non-functional requirements. Support cloud transformation initiatives in complex, highly regulated environments and represent architecture through governance forums.

Conduct technical research at the intersection of AI and blockchain, exploring LLMs, agents, on-chain data, trading, and intelligent applications. Build reproducible prototypes and validate innovative ideas through proof-of-concepts and product demonstrations. Track industry developments, analyze research findings, document conclusions, and collaborate with algorithm and engineering teams to advance concepts toward implementation.

Owns supply chain master data, EDI, and business systems governance while aligning business and IT teams. Leads MDM and ERP implementation, EDI rollout, process improvement, roadmap development, project delivery, change management, stakeholder engagement, end-user training, and post-go-live prioritization. Requires strong supply chain experience, project and systems expertise, stakeholder influence, reporting ability, and agile delivery experience.

Provides executive and administrative support to APAC leaders, including calendar, correspondence, meeting, travel, expense, and confidential records management. Oversees Sydney office operations, access, supplies, facilities coordination, vendors, contracts, and workplace compliance. Supports company events, town halls, cross-functional initiatives, and stakeholder communication across multiple time zones.

Leads client-facing delivery of large-scale data platforms and business intelligence solutions. Responsibilities include requirements workshops, data architecture, platform design, data modeling, AI-enabled migrations, performance optimization, Power BI self-service solutions, technical documentation, training, and stakeholder engagement. The role requires advanced experience with Snowflake or Databricks, cloud platforms, Python, SQL, Power BI, DevOps, CI/CD, and enterprise data warehouse implementations.

Develops advanced AI and machine learning solutions, including forecasting, reinforcement learning, optimization, generative AI, conversational AI, and graph AI. Leads predictive modeling initiatives, foundation model development, AI governance, and responsible AI practices. Partners with business and technical leaders to align AI strategies with organizational goals, establish performance metrics, and deliver measurable cost savings, efficiency improvements, and revenue growth.

Leads customer-embedded data science engagements, translating business needs into technical approaches and delivering production-grade solutions. Builds trusted relationships with senior stakeholders, operates effectively in ambiguous environments, applies industry context, and transitions work to FDE teams with clear technical direction. Owns customer outcomes end to end while driving urgency, accountability, and sustained impact.

Lead end-to-end change management across complex investment initiatives, from impact assessment and planning through implementation, adoption, and transition to business as usual. Partner with senior stakeholders, sponsors, leaders, and delivery teams; manage readiness, risks, resistance, and dependencies; coach stakeholders; and strengthen organisational change capability. Use iterative delivery practices, AI, and data to improve change effectiveness and ensure sustainable outcomes across geographically distributed teams.

Maintain and validate asset data across a government facilities portfolio. Responsibilities include asset onboarding and offboarding, data audits, database uploads, reporting and dashboard preparation, maintenance schedule support, documentation audits, vendor and contractor data amendments, anomaly escalation, and process improvement. The role also supports stakeholders and colleagues with asset data processes and requires strong Excel, Power BI, reporting, organizational, and communication skills.

Delivers client data and AI consulting engagements across data strategy, governance, architecture, platform development, analytics, and AI solution development. Responsibilities include assessing data and AI readiness, building pipelines and prototypes, designing governance frameworks, evaluating AI solutions, and advising clients on technical feasibility, risk, and adoption roadmaps. The role also leads workstreams, supervises junior staff, and collaborates with client teams and system integrators.

Serve as a trusted technology advisor to the Australian Department of Defence, shaping technology strategy, enterprise architecture, and roadmaps. Drive secure cloud, AI, data, security and digital transformation; lead strategic pursuits, executive engagement, and cross-Microsoft orchestration to accelerate mission outcomes.

Manages technology, cyber and data risk reviews, control assurance, ITGC testing, risk assessments, remediation, incidents, and thematic reviews. Partners with technology, cyber, data, audit, compliance, supplier management, and transformation teams to strengthen governance and control effectiveness. Supports technology change, cloud, resilience, AI, and third-party risk initiatives while coordinating audit and regulatory responses. Coaches stakeholders and translates complex risk issues into practical business actions.

Partner with founders and executives to shape strategy through forecasting, driver-based modeling, investment analysis, performance measurement, and rigorous recommendations. Build datasets, analytical models, and pipelines across the data stack while challenging assumptions and influencing executive and board decisions. Establish metrics, accountability, and analytical best practices in an ambiguous, high-growth technology environment.

Build, maintain, debug, and optimize data pipelines across AWS and GCP. Support data ingestion, transformation, warehousing, testing, monitoring, database performance, backup and recovery. Collaborate with cross-functional engineering teams in an agile environment, troubleshoot production issues, contribute to cloud architecture and operational best practices, and provide technical handover and escalation support.

Conduct estate condition assessments and asset data verification audits at Defence sites. Maintain and validate asset information in Defence estate systems, collaborate with stakeholders and subcontractors, prepare appraisal and audit reports, support continuous improvement, and ensure compliance with workplace health, safety, and environmental requirements.

Analyze large datasets to identify trends, patterns, and insights that support business decisions. Develop dashboards and reports, validate data quality, perform forecasting and predictive modeling, collaborate with stakeholders, improve analytics processes, and uphold data governance standards. The role requires strong communication skills and proficiency with data analysis languages and business intelligence tools in an agile environment.

Develop statistical and machine learning models for property valuation and market insights. Responsibilities include assembling and cleaning large datasets, engineering features, tuning and validating models, creating visualisation tools, deploying models to production with ML Engineers, documenting work, and presenting findings. The role uses Python, SQL, AWS, BigQuery, Docker, and related data science technologies in a collaborative team.

Own and improve the reliability, quality, governance, and observability of the company’s internal data platform. Build production data pipelines and integrations, implement testing and validation, document lineage, enable self-service analytics, and automate operational support. Collaborate with product engineers, delivery teams, and data specialists while using AI-assisted development tools to improve data engineering practices.

Lead a team of Data Consultants across Australia & New Zealand to onboard and manage complex managed-investment datasets, build and escalate relationships with asset managers and third-party providers, provide data expertise to product and commercial teams, monitor market/competitor trends, collaborate with global stakeholders, and develop team capabilities to improve data quality and operational productivity.

Leads APAC data center development opportunities from site identification through land acquisition and execution readiness. Oversees technical and commercial due diligence, feasibility, utility strategy, permitting, risk management, governance, investment approvals, and portfolio reporting. Coordinates internal teams, consultants, landowners, utilities, regulators, and other stakeholders while preparing business cases and investment recommendations for executive leadership. Provides oversight of budgets, schedules, contracts, risks, and development pipeline performance.

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.