Top Data Jobs in Sydney

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.

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 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.

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.

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.

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 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.

Hunt and win new enterprise and mid-market customers for voice, mobile, data, cloud and managed services. Prospect, build executive relationships, create commercial solutions, negotiate and close deals. Lead opportunities end-to-end with Solution Architects and technical specialists, manage pipeline and forecasts, and prepare proposals and tenders.

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.

Lead Microsoft practice sales by building executive relationships across Microsoft, identifying and shaping joint opportunities, coordinating stakeholders and partners, coaching sales specialists, using partner tools to drive co-sell activity, and articulating NCS's differentiated value.

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).

Lead pre-sales architecture for enterprise data and AI solutions built on Salesforce Data Cloud and Agentforce. Design integrations with hyperscalers, data lakes, external agents, APIs, and governance frameworks. Develop prototypes, demos, prompts, agent lifecycle strategies, and technical enablement materials. Facilitate customer workshops, advise on data modeling and activation, and support early proof-of-value engagements. Partner with sales and product teams while serving as a technical advisor to enterprise data and architecture leaders.

The Customer Technology Advisor drives technology solutions, collaborates with partners to deliver value, and supports pre-sales processes, leveraging technical expertise and consultative selling to exceed customer expectations.

Provide pragmatic commercial legal advice, lead drafting and negotiation of complex commercial and technology contracts, support major projects and strategic initiatives, identify and manage legal and regulatory risk, build strong stakeholder relationships, and contribute to process improvement and mentoring within the in-house legal team.

Build and maintain secure, scalable batch and real-time data pipelines for payment and transaction data. Integrate APIs, databases, files, event streams, and third-party platforms; develop Snowflake data objects, tests, orchestration, monitoring, reconciliation, and recovery processes. Optimize platform performance, apply governance and security practices, troubleshoot issues, and provide rotational on-call support while partnering with analysts and stakeholders in Agile teams.

Analyze trends, acquisition funnels, segmentation, experiments, and channel performance to generate actionable business insights. Translate complex data into recommendations, support product and commercial strategy, inform requirements, and measure feature effectiveness. Collaborate with Product, Engineering, Marketing, Commercial, and data teams while strengthening reporting and analytics capabilities.

Develop and productionize predictive models and AI solutions using large datasets and feature stores. Responsibilities include financial and valuation modeling, personalization, growth and retention analytics, model deployment and maintenance in the cloud, automation, MLOps improvement, stakeholder collaboration, documentation, and delivery of projects within schedule and budget.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

The Strategic Account Manager will manage commercial relationships with ANZ utility subscriptions, focusing on account expansion, renewals, and building executive relationships within accounts to ensure long-term growth and strategic direction.

Join Speechify's AI team as a Software Engineer responsible for data collection and infrastructure management to enhance model training operations.

Lead the optimization and scaling of Airtree’s data infrastructure across Snowflake, dbt, AWS Lambda, and Streamlit. Build reliable ETL/ELT pipelines, improve data models, support investment origination and portfolio reporting, enhance dashboards, identify system bottlenecks, and promote data-driven decision-making. Collaborate with investment, strategy, investor relations, and finance stakeholders while translating complex technical concepts into practical insights.

Analyze and manipulate large datasets to create high-impact data products supporting customer, member, marketing, digital, and partner insights. Translate stakeholder needs and complex analytics into actionable recommendations and business value. Use SQL and data modeling to extract insights, with Teradata and Tableau experience supporting data analysis and visualization. Collaborate with leadership and embedded analytics teams within Qantas Loyalty’s personalization and experimentation strategy.

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.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.