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Data and Analytics Lead

Lake Macquarie City Council

Lake Macquarie, New South Wales, AustraliaOn Site

Original Job Summary

About the Role

The Data and Analytics Lead role at Lake Macquarie City Council focuses on turning data and innovation into real community outcomes. As part of the digital transformation journey, you will drive data integration, reporting, and the ethical use of AI to provide smarter services and stronger community connections.

Key Responsibilities

  • Build and manage the enterprise data, reporting, and integration platforms.
  • Establish a robust data governance framework ensuring data integrity.
  • Deliver business intelligence and self-service reporting tools.
  • Lead the design and delivery of seamless system integrations.
  • Introduce ethical and effective AI tools (e.g., Microsoft Copilot, ChatGPT).
  • Provide expert advice to executives and mentor a specialized team.

About You

You have tertiary qualifications in a related field and significant experience leading enterprise data functions. You are adept at translating business needs into actionable data solutions, influencing senior stakeholders, and fostering a collaborative environment.

Perks

  • Competitive salary negotiated upon hire.
  • Opportunity to establish a new enterprise function.
  • Flexibility with a nine-day fortnight and hybrid work options.
  • Ongoing professional development and learning opportunities.
  • Work in a community-focused environment making a real impact.

Key skills/competency

  • Data Governance
  • Enterprise Reporting
  • Data Integration
  • AI Innovation
  • Digital Transformation
  • Business Intelligence
  • Leadership
  • Team Mentoring
  • Strategic Planning
  • Stakeholder Management

How to Get Hired at Lake Macquarie City Council

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to data, integration, and AI.
  • Showcase leadership: Highlight experience in enterprise analytics.
  • Research Lake Macquarie: Understand Council’s digital strategy and culture.
  • Prepare for interviews: Practice explaining technical integrations clearly.
  • Follow application tips: Emphasize results in community impact.

📝 Interview Preparation Advice

Technical Preparation

Review data governance frameworks.
Study integration platform architectures.
Practice BI and reporting tool use.
Explore ethical AI implementations.

Behavioral Questions

Describe a past data project challenge.
Explain your leadership communication style.
Discuss handling stakeholder disagreements.
Share a team mentoring success story.