Jobs at Experian

Lead and grow the EDQ Customer Success team across ANZ to drive adoption, expansion of ARR, customer satisfaction and advocacy. Build playbooks for upsell/cross-sell, run QBRs/workshops, collaborate with Sales/Product/Consulting, and act as the Voice of the Customer to realize measurable value from Experian Data Quality solutions.

Lead Experian Data Quality's ANZ Commercial Sales team to deliver new-business growth. Build and coach a high-performing sales organisation, execute vertical segment strategies, generate and manage a 3x qualified pipeline, own FY27 new-business plan ($3.7M billings), collaborate cross-functionally, and ensure forecast accuracy and territory focus.

Lead the EDQ Customer Success team across ANZ to drive adoption, expansion of ARR, retention and customer advocacy. Build playbooks for up-sell/cross-sell, run QBRs, workshops and events, act as trusted advisor and voice of the customer, and collaborate with Sales, Product and Consulting to realise customer value.

Build and scale Experian's global enterprise channel partnership function: define channel strategy and operating model, recruit and onboard partners, drive partner-sourced and partner-influenced revenue through co-sell and embedded distribution, lead joint GTM and enablement, manage partner lifecycle and executive relationships, align cross-functional stakeholders, establish KPIs and processes to scale partner productivity and pipeline.

Design, implement, and support Microsoft Intune and Autopilot endpoint management; migrate GPOs to compliance policies; deploy and manage applications; build automation with Azure tools; monitor device health and Microsoft 365 services; troubleshoot endpoint/security incidents; produce reports and documentation.

Lead software engineering for Experian Automotive: set engineering vision and AI-first strategy, drive architecture and delivery of scalable cloud-native products, oversee SDLC, governance, budgets, vendor relationships, and build high-performing distributed engineering teams.

Lead end-to-end revenue operations for Employer Services: own Salesforce and revenue tech stack, standardize quote-to-revenue, govern forecasting and pipeline, align revenue integrity with Finance, and drive global transformation, automation, and adoption across Sales, Finance, and Technology.

Manage and automate enterprise multi-cloud platforms, develop infrastructure-as-code and automated deployment processes, design resilient and ransomware-resilient recovery architectures, and build orchestration, monitoring, and self-healing automation to support large-scale disaster recovery and secure restoration pipelines.

Mid-level DevOps engineer responsible for integrating Audigent into Experian Marketing Services, leading AWS lift-and-shift migrations, standardizing infrastructure, maintaining CI/CD with GitHub Actions, monitoring and remediating vulnerabilities, supporting IAM and cloud governance, refactoring network topology, and driving cost, stability, and operational efficiency improvements.

Support integration of Audigent into Experian Marketing Services by maintaining CI/CD pipelines, participating in large-scale AWS migrations, implementing security patches, refactoring network topology, assisting IAM and cloud governance, standardizing DevOps tooling and practices, and supporting cloud cost optimization and infrastructure automation.

Own and scale Paid Social (Meta, TikTok) alongside Display/Programmatic. Build, optimize and manage acquisition campaigns, budgets, bidding, audiences, QA and tracking. Lead creative and audience testing, produce weekly/monthly reports, translate insights, and collaborate with Creative, Analytics, Ad Ops, Product and Web to improve efficiency and attribution.

Work with business partners to identify, prioritise and validate AI and automation use cases, scope MVPs and success criteria, build rapid prototypes using low-code/no-code tools, assess feasibility and trade-offs between AI and traditional approaches, and communicate outcomes and recommendations.

Lead in-house Paid Search and App acquisition: build, scale and optimise campaigns across Google, Microsoft and Apple. Manage setup, testing, creatives, attribution/tracking, reporting, and performance (CPA/ROAS) to drive growth and define best practices.

Identify and validate AI and automation use cases, build and manage a pipeline of opportunities, scope solutions and define MVPs, rapidly prototype using low-code/no-code tools, assess feasibility and trade-offs, and communicate outcomes and recommendations.

Design and run experiments to evaluate GenAI systems, define success metrics, and analyse model behaviour. Build and iterate GenAI prototypes toward production alongside engineering and product teams. Communicate results, trade-offs, and recommendations while contributing to knowledge sharing and continuous learning.

Join the DataHub squad to develop Java/Spring Boot backend features and support Angular/React frontend work. Deliver features, tests, and CI/CD pipeline tasks; participate in code reviews, monitoring, incident drills, API design (OpenAPI), and collaborate with global teams while growing under senior mentorship.

Investigate and resolve client tickets (cases, incidents, problems), configure and test Core DA software, extract and analyze data, communicate findings with internal teams and clients, document system changes, and contribute product expertise to improve solutions and client operations.

Own and grow a portfolio of public sector accounts, drive retention and upsell, coordinate internal teams to deliver integrated data and platform solutions, manage procurement/commercial frameworks and ensure revenue, forecasting and CRM accuracy.

Design end-to-end AI-powered product experiences, from discovery through production. Partner with Product, Engineering, Research and stakeholders to prototype, validate, and define multi-touchpoint journeys that surface non-deterministic AI outputs responsibly within regulated environments.

Lead and govern enterprise architecture to align technology strategy with business priorities. Develop blueprints, reference architectures and standards; drive cloud-first (AWS) modernisation; lead architecture governance and reviews; advise senior leadership on investments and transformations; establish reusable patterns, mentor architects, and ensure solutions meet security, compliance and operational resilience requirements.