Top Data Jobs in Sydney

Provide legal, risk, and governance advice on consultancy, advisory, digital, and infrastructure projects. Responsibilities include contract review and negotiation, dispute management, transaction and compliance support, cyber, data and AI matters, stakeholder collaboration, and employee training. The role also advises senior leadership and manages competing priorities across a fast-paced, matrix organization.

Conduct market research, competitive benchmarking, industry and business analysis to develop growth strategies and strategic recommendations for technology-sector clients. Prepare market assessments, insights, presentations, proposals, thought leadership, and market intelligence materials. Engage with client leadership through interviews, workshops, and strategy sessions while supporting business development activities.

Support and lead L2/L3 investigations for 5G Cloud Core (UDM/CCxx) incidents, perform fault isolation and service restoration, analyze logs and network flows, collaborate with product/project teams to improve stability, manage provisioning/data operations and upgrades, and drive automation, documentation and knowledge sharing to prevent repeat faults.

Drive enterprise services sales across Australia by originating and expanding accounts, owning opportunities from qualification through closure, and engaging C-suite stakeholders. Develop sales strategies, lead proposals and presentations, scope consulting-led solutions, structure Statements of Work, and achieve revenue and profitability targets. Collaborate with client executives, architects, engineers, delivery teams, OEMs, and partners while applying expertise in cloud, AI, cybersecurity, infrastructure, automation, and digital workplace technologies.

Drives AWS growth across Australia through startup-focused business development. Identifies and engages startups, ISVs, MSPs, resellers, and technology partners; generates qualified opportunities and pipeline; recruits and enables partners; develops joint go-to-market initiatives; engages incubators, accelerators, and VC firms; and leads workshops and events. Positions AWS cloud, migration, AI, data, security, Marketplace, and professional services while collaborating with AWS and internal teams to increase consumption and revenue.

Own regional data center vendor strategy and end-to-end colocation deals, including planning, RFPs, commercial negotiations, execution, vendor relationship management, QBRs, budgeting, spend review, and invoice approval. The role coordinates with legal, operations, capacity planning, network strategy, and security teams across multiple geographies to expand and optimize Cloudflare’s data center footprint.

Leads enterprise change governance and adoption for Data and AI products across merchandising, operations, customer, and corporate domains. Oversees change managers and vendors, establishes readiness and adoption frameworks, tracks value realization, integrates change into agile delivery, and develops enterprise AI literacy with People & Culture. Engages executives and product leaders to embed sustainable data- and AI-enabled ways of working.

Lead end-to-end organisational change management for complex technology and business transformations. Develop change strategies, assess impacts and readiness, engage executives and stakeholders, deliver communications and learning programs, establish change champion networks, and measure adoption and value realization. Provide trusted client advisory services, facilitate challenging discussions, manage risks and governance, and guide other change practitioners through transformation initiatives.

Analyze Dynatrace Digital Experience data for major clients, translating complex performance and user-engagement data into actionable business insights. Manage relationships with 8+ accounts, lead customer meetings, produce reports and dashboards, configure Dynatrace offerings, conduct ad hoc analyses, provide training, and represent client needs internally. The role also supports process improvements and requires fluent English and Japanese communication for the Japan market.

Provides first-line technical support for production data processes used by researchers, traders, and business users. Monitors pipelines, investigates failures and data-quality issues, validates datasets, assesses business impact, coordinates resolution with engineering teams, and communicates updates to stakeholders. Maintains JIRA workflows, contributes to monitoring and documentation improvements, supports onboarding, and assists with live data collection and historical backfills.

Design and maintain conceptual, logical and physical data models using Data Vault and Kimball approaches. Write and optimise complex SQL, use Databricks for data preparation, support integration and validation, run modelling workshops with stakeholders, translate requirements into scalable models, and drive delivery while managing priorities and stakeholder expectations.

Lead data and AI governance advisory engagements, including governance framework design, risk and compliance uplift, maturity assessments, policy development, regulatory guidance, and Responsible AI initiatives. Manage client relationships, engagement delivery, quality, and timelines while coaching junior consultants. Contribute to business development through proposals, tenders, presentations, and practice growth.

Analyze billions of user behavior, fund-flow, and market records using PySpark, Hive, Trino, and SQL. Build feature pipelines, investigate data anomalies, and develop and evaluate machine learning models for risk detection. Translate model performance into business metrics such as detection rate, false-positive rate, and latency while owning a project stream end to end.

Design and lead scalable data platforms, pipelines, integrations, and analytics solutions using Databricks, Snowflake, Azure, and modern data engineering practices. Translate business needs into technical solutions, lead projects and small teams, mentor consultants, manage client relationships, shape proposals, and deliver practical outcomes through consulting and advisory engagements.

Leads data strategy, migration, governance, and quality for enterprise Workday implementations across HR and Finance. Owns end-to-end data delivery, defines migration approaches and controls, coordinates cross-functional teams, manages risks, resolves complex data challenges, ensures compliance, and advises senior stakeholders. Also drives continuous improvement, knowledge sharing, and scalable data solutions.

Analyze data from problem definition through recommendations, develop dashboards and analytical models, maintain data quality and governance, and partner with stakeholders to support strategic, operational, and regulatory decisions. The role also contributes to data operations, coaches junior analysts, and communicates complex findings to senior non-technical audiences.

Owns high-impact ANZ strategic projects spanning commercial growth, customer expansion, partnerships, sales, and delivery. The role translates regional priorities into workstreams, milestones, dashboards, operating cadences, and repeatable playbooks. It resolves cross-functional blockers, improves sales-to-delivery execution, supports priority accounts and partners, and uses data, automation, and AI to improve regional performance. Success is measured through revenue retention, opportunity progression, partner contribution, delivery efficiency, and stronger operating leverage for regional leadership.

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.

Leads the design, delivery, and operation of scalable AI, machine learning, analytics, and data products at Qantas. Responsibilities include productionizing models, improving MLOps, analyzing customer and operational data, leading analytics projects, advising stakeholders, and translating business problems into practical recommendations. The role requires strong statistical, technical, cloud data platform, visualization, communication, and stakeholder engagement skills.

Own the full lifecycle of data and analytics products, from ideation and development through deployment and continuous improvement. Define product vision, requirements, roadmaps, governance, service levels, and performance indicators. Lead cross-functional teams, mentor staff, manage stakeholders and vendors, and translate complex data into actionable business insights. Partner with architects, engineers, scientists, and business teams to deliver scalable, secure, high-value data products.

Own high-leverage product and technical initiatives from ambiguous problem definition through measurable delivery. Translate executive priorities into plans, align cross-functional teams, surface risks, and drive outcomes across product, engineering, data, AI, and commercial functions. Provide decision-ready recommendations to the CEO and CPO, improve operating cadences, establish ownership mechanisms, and use hands-on analysis, prototyping, code, data, and AI tools to unblock progress and increase organizational leverage.

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 strategic programs and initiatives across APAC while overseeing the regional PMO. Establishes governance, delivery standards, milestones, reporting, and accountability for complex, cross-functional programs, including M&A initiatives. Partners with senior stakeholders, manages risks and dependencies, provides executive dashboards and insights, and supports leadership decision-making across multiple countries.

Build and maintain reliable cloud-based data pipelines, reusable data assets, curated datasets, and scalable data solutions. Modernize legacy processes, improve workflow performance, and implement data quality, lineage, governance, privacy, security, and resilience controls. Collaborate with cross-functional teams to support reporting, analytics, operational use cases, AI-enabled outcomes, and better customer experiences.

Own enterprise sales for Salesforce Data Foundations, developing territory and account strategies, engaging senior stakeholders, managing complex sales cycles, positioning data management and analytics solutions, coordinating cross-functional teams, and maintaining accurate CRM forecasts. The role focuses on helping large organizations address data silos, governance, quality, reporting, and transformation challenges while meeting or exceeding quota.