This role involves the management, collection and quality control of all forms of data and data structures that make up the Australian Defence Force’s (ADF) Vital Planning and Analysis (VIPA) suite of logistics planning tools. The management of data and information in all its forms and the analysis of information structures (including logical analysis of taxonomies, data and metadata) is paramount to being successful in this role. The role requires extensive stakeholder engagement and management across the Defence enterprise.

Duties include:

• Analyse current data holdings and reference documents using guidelines to identify deficiencies in content and quality
• Prioritise tasks according to information requirements and user direction, and de-conflict activities with other staff
• Plan data management activities, incorporating information needs and priorities, client schedules and travel requirements
• Maintain a work schedule and forecast activities
• Identify authoritative sources for Defence data that meet content and quality standards
• Establish and maintain relationships with ADF stakeholders
• Liaise with ADF stakeholders to identify, collect and validate data
• Advise ADF stakeholders about data quality standards
• Upload data to databases using systems and processes that optimise quality
• Validate data with subject matter expert support
• Create and maintain accurate records in Objective
• Prepare reports for executive and project teams
• Deliver pre-packaged one-on-one training to stakeholders

Candidates must be Australian Citizens and hold a current NV-1 or greater AGSVA security clearance.

We are responsible for collecting hundreds of millions of events from client devices each day and streaming them directly into our data warehouse. We extract data from the majority of Nine’s enterprise systems, centralise it in our data warehouse. You will be responsible for the design and overseeing the development of rich data models for analysis and to inform business operations and strategy for reporting,  personalisation and commercialisation. You will play  a key role in shaping and maturing the Nine data platform to enable critical business decisions and outcomes. 

Who are you?

Experienced and detail oriented data modeller to join the Nine Data team. You possess a deep understanding of data modelling techniques and best practices. You have the ability to translate complex business requirements into efficient and scalable data models.

You contribute to a learning-oriented workplace culture, being curious about the world around you, seeking new ways to explore and bring new thinking and practices to bear within your team. You remain open to learning new technologies and techniques, and finding creative ways to leverage this knowledge to further team goals.

What you’ll do:

• Design and maintain advanced data models, including conceptual, logical, physical, and dimensional modelling.

• Collaborate with broader teams to translate business needs into effective data solutions.

• Perform data profiling/analysis activities that will help establish, modify, and maintain a data model.

• Lead the creation of a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders.

• Lead and participate in design workshops to facilitate an understanding of business data needs and how they are mapped to the data model.

• Support review, sign-off and adoption of data models in collaboration with data product,  architecture, and data engineering teams.

• Articulating modelling principles to the broader data engineering team

Data Engineering builds and manages the pipelines, applications and infrastructure for collecting, processing, and storing Nine’s data. We are responsible for collecting hundreds of millions of events from client devices each day and streaming them directly into our data warehouse. We extract data from the majority of Nine’s enterprise systems, centralise it in our data warehouse, and create rich data models for analysis and to inform business operations and strategy.

The team is also responsible for building solutions to surface data to users including dashboards, Slack integrations and automated static reports, as well as providing data feeds to downstream systems for personalising audience experiences and commercialisation.

• Design, develop and maintain data pipelines that extract, load and transform data from various sources into the data warehouses.

• Design and implement data models that align with business requirements and support efficient querying and analysis.

• Ensure the pipelines are reliable, scalable, and efficient, considering factors including data volume, velocity, and variety.

• Implement data quality checks and validation processes to maintain accurate and reliable data.

• Set up monitoring and alerting to proactively identify and resolve issues.

• Perform root cause analysis for incidents and implement corrective actions.

• Contribute to the technical design and vision for the data platform.

• Collaborate with cross-functional teams, including product managers, data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.

• Communicate technical concepts and solutions effectively to non-technical stakeholders.

• Stay updated with emerging data engineering technologies and trends, and evaluate their potential benefits for the organisation's data ecosystem.

Nine is hiring a Data Architect to join its Data Team to continue to make data a competitive advantage. As a Data Architect, you will work with key stakeholders to build high-performing data products, reduce the complexity of our data landscape and play a crucial role in managing and strategically planning Nine’s data architecture. You will partner with business stakeholders, product managers and data engineers and work across subject areas such as advertising, subscriptions and editorial. 

Responsibilites: 

• Design, implement, and manage consumption focused dimensional data models within a petabyte sized data platform. Specifically define how data is linked and how it flows in the system, ensuring the data models are optimised for both performance and storage.

• Work closely with stakeholders to understand their needs and design systems that support data-driven decision-making.

• Design and support the implementation of policies for data usage, data storage, data security, and data governance

• Promote self serve and help drive data literacy

• Define and promote data governance best practices to ensure data quality, consistency, and security.

• Provide data on industry trends, emerging technologies and modelling techniques, and new tool sets - we aren't afraid to experiment!

• Conduct data analysis and data profiling to discover data quality issues, data integration opportunities, and data enrichment opportunities.

• Mentoring data engineers on data modelling and data management

• Keep up ­to ­date with media and technology industry changes and stimulate discussion