Total 172 regional recruitment lead job vacancies in Information Technology category in Option to work from Ringwood (Melb), Brisbane, Sydney, Canberra and Tasmania

This role reports to the Senior Director, Global Employee Customer Management Leader.

The successful candidate will be responsible for day-to-day operations of a well-established regional SME team within our Global Customer Support organization.

This includes providing in-person leadership to managers, technical support engineers, interfacing with Development on customer impacting enhancements and fixes, recruiting and development of support staff, and meeting or exceeding SME team key performance indicators.

The successful candidate will also have responsibility for leading efforts in developing and implementing world class technical support services, knowledge base content, best practices and methodologies to deliver unsurpassed service and support.   

Responsibilities 

• Listen and drive the best possible internal employee experience and to recruit and retain the best technical talent possible
• Partner with local leadership both within and outside the support organization to provide an exceptional Customer and case support experience including real-time phone and web channels
• Develop and effectively drive local initiatives to help meet our Global Customer Support objectives as measured through key results including Customer Satisfaction, Time to Relief/Resolution (TTRf/TTR), aging backlog, NPS, engineer productivity, and to keep customers informed through the case relief process Responsible for People Management, including managing multiple managers, hiring, improving productivity, promoting employee morale, allocating and utilizing resources efficiently, motivating teams, and managing attrition and training.
• Participate in and provide oversight to Change Management as it relates to Customer and Technical Support.
• Own and bring to conclusion, customer escalations by working with cross-teams in Support, Development, and Operations teams
• Drive daily case management success from detection to resolution and dissatisfaction issues for customer accounts leading to ongoing enhanced customer experiences.
• Represent the Platform, Product and ServiceNow effectively with internal and external customers.
• Understanding the ServiceNow platform and its components
• Manage major operations outages and communications to the customers. Participate in weekend and holiday on-call rotation as required.
• Evaluate current processes, technology, and organizational skills to identify areas of improvement and opportunities for advancement. 
• Lead by example to cultivate and maintain a culture built on teamwork, collaboration, and customer focus.
• Manage the company’s and department’s vision, goals, mission and values. 

Job Description

We are looking for a Senior Data Scientist to join DataWorks, where you’ll be the technical lead for machine learning and predictive modelling projects. You will play a key role in developing end to end solutions and also own the implementation. This is a hands-on technical role where you’ll spend 80% of your time coding, building models and solving complex problems. While you’ll mentor junior team members and provide technical leadership, this is not a people management position although there is opportunity to do so in future as our small team grows.

Problems we’re working on include:

• Optimising marketing spend and mix for sustainable ROI
• Optimising call centre operations (prioritisation, demand) and driving performance with the right incentives
• Supporting marketing performance by analysing customer needs and effectiveness of creatives and other strategies

We have a hybrid working arrangement from our Sydney CBD offices.

Key Responsibilities:

• Lead the design, development, and implementation of data science models, responsible for designing and delivering technically complex Data Science initiatives that produce significant business value. Examples include churn prediction, forecasting on call centre performance and digital marketing demand, media mix models, clustering and segmentation, call centre activity simulation, speech to text and text analysis.
• Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
• Collaborate with cross-functional teams (data engineers, business stakeholders, C Suite) to understand business needs and translate them into actionable data science solutions.
• Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
• Use SQL and ETL processes to manipulate and extract data from relational databases.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.
• Provide mentorship to junior team members and contribute to the overall growth of the team.

Advanced Technical Skill:

• Expert-level knowledge of machine learning techniques (e.g. GBMs, clustering) across a variety of business problems and data sets and experience across the full life cycle of model development,  deployment and maintenance. Proficiency in SQL and at least one programming language (e.g., Python, R)
• Strong ability to align technical solutions with business strategy, and to communicate complex findings to senior stakeholders
• Experience in setting timelines, deliverables, and navigating resourcing challenges
• You will have demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail.
• Experience with visualization tools like PowerBI is a plus.
• Experience working in a cloud (AWS / GCP / Azure) environment is a plus

Why Join Us:

• Work in a small dynamic and innovative team driving real business impact, with strong buy-in from C Suite.
• Opportunities for professional growth and development in as a technical lead.
• Collaborative culture and cross-functional engagement with various teams and stakeholders. Autonomy in developing solutions and opportunity to drive high impact change in the business.

We are seeking a dynamic and experienced HCM Program Lead for an enterprise-wide implementation of Workday HRIS at Nine. This high-impact role will transform our People & Culture systems, processes, and employee experience. 

As the business owner of the HRIS, you will partner with both business and technology teams, overseeing the project lifecycle from planning to go-live, ensuring successful adoption and optimisation of the new platform.

Key Responsibilities

• Oversee the entire Workday HRIS implementation, including scope, budget, and timeline management.
• Collaborate with stakeholders to define objectives, deliverables, and project scope.
• Build and lead a cross-functional project team, including internal resources and external vendors.
• Manage risks, resolve escalations, and ensure the program meets its business case, staying within budget while realising intended benefits.
• Oversee system configuration, testing, and deployment of Workday Core HCM and Talent Optimisation modules.
• Ensure data integrity, security, and seamless system integration with payroll, finance, and other key departments.
• Collaborate with internal technology teams and external partners to ensure end-to-end process integration.
• Partner with internal and third-party change management teams to drive user adoption and minimise disruption.
• Develop and execute comprehensive change management strategies tailored to organisational needs.
• Define the vision, strategy, and roadmap for the HRIS and related People & Culture systems (e.g., LMS, performance management tools).
• Monitor system performance, identifying opportunities for innovation and optimisation.
• Stay current with HR technology trends and best practices, ensuring the platform remains future-ready.
• Evaluate and implement new People & Culture technologies, ensuring seamless integration with existing systems.

We are looking for a Lead Data Engineer to join our Data Domain!

What is this role about?

In this newly created, critical role, you will be responsible for the design, development and support of the Data Products Cuscal creates for both internal and client facing use cases. The role accomplishes this by:

• Sourcing, transforming, securing and monitoring data for the creation of products using Cuscal’s data lake and analytics systems.
• Engaging in discovery activities with the Data Product Owner and product, engineering and analytics personnel from both internal and client teams.
• Working in partnership with our Data Practice to deliver solutions that meet our organisational standards and best practices.

Here's more of what you’ll work on:

• Design Solutions: Develop and maintain scalable pipelines. Ensure systems are designed for extensibility, are robust, and can handle large volumes of data efficiently.
• Data Integration: Lead efforts in integrating data from various sources, ensuring data quality and consistency. Work on data transformation, processing, and loading to support analytics and business intelligence needs.
• Performance Optimisation: Identify and resolve performance bottlenecks within the Databricks environment, including optimizing the data ingestion processes and ensuring efficient data querying.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet those needs. Provide guidance and mentorship to junior data engineers.
• Innovation and Improvement: Continuously explore new data technologies and methodologies. Implement best practices for data engineering in partnership with our Data practice.
• Documentation: Maintain comprehensive documentation of data workflows, architectures, and best practices. Ensure that all data processes are well-documented and reproducible.
• Security and Compliance: Ensure data security and compliance with industry standards and regulations. Implement data governance practices and monitor adherence to policies.