A Federal Government department is seeking a Data Analytics Manager to lead and develop analytics capabilities, turning complex data into strategic insights that support decision-making and drive outcomes across the organisation. This is an exciting opportunity to lead a high-performing team and influence the data-driven future of government services.
Key Responsibilities
- Lead and manage a high-performing analytics team, fostering a culture of delivery, upskilling, and continuous improvement in Business Intelligence (BI) and analytics practices.
- Partner with the Director of Business Intelligence and Analytics to shape and implement the organisation’s data and analytics strategy.
- Oversee enterprise analytics architecture, including enterprise data models, metadata management, and data pipelines.
- Drive design and operation of data pipelines and transformations leveraging Azure Synapse Analytics, Databricks, and other Azure data platform components.
- Lead the delivery of advanced analytics and machine learning (ML) initiatives that inform strategic decision-making.
- Manage and optimise CI/CD pipelines using Azure DevOps to ensure rigorous standards in development, testing, and deployment of data products.
- Prepare high-quality analytics reports and presentations, translating insights for senior executives and decision-makers.
- Monitor emerging trends in analytics, AI/ML, data engineering, and cloud technologies, providing recommendations for adoption and risk mitigation.
- Ensure compliance with data governance, security, and platform integrity standards.
- Demonstrate leadership behaviours and values in all interactions.
- Participate in team meetings, performance reviews, and organisational development activities.
- Undertake other duties and projects as reasonably requested.
Key Challenges
- Deliver meaningful insights to a diverse range of internal and external stakeholders.
- Lead a agile analytics function that adapts to a rapidly changing environment.
- Stay ahead of emerging tools and methodologies to enhance the department’s data maturity.
- Quickly understand new business concepts and organisational services to anticipate needs
Job Requirements
- Proven experience in data analytics or a related field.
- Experience leading analytics teams delivering cloud-native data solutions.
- Technical expertise in Azure Synapse Analytics, Databricks, and Azure DevOps.
- Demonstrated experience with enterprise data modelling, data warehousing, and analytics architecture.
- Experience developing and deploying ML models integrated into business operations.
- Strong stakeholder management and influencing skills, able to communicate technical information to non-technical audiences.
- Ability to operate effectively in ambiguity and respond with agility to change.
- Exceptional written and verbal communication skills.
Desired:
- Tertiary qualifications in a relevant field.
- Experience in consulting or similar functions.
- Experience delivering or supporting AI initiatives in the public or private sector.
To Apply:
If you are interested in applying for this role, please click the APPLY NOW button or email your CV to leanne.porter@chandlermacleod.com
At Chandler Macleod, we are committed to fostering a diverse workforce where everyone is welcome. We encourage applications from Aboriginal and Torres Strait Islander peoples, women, neurodiverse, people living with a disability and the LGBTIQA+ community.
You can read more about our commitment to diversity and inclusion at https://www.chandlermacleod.com/diversity-and-inclusion.
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📌 Data Analytics Manager
🏢 Chandler Macleod
📍 Sydney