Data Governance Manager (Eagle Farm)
Data Governance Manager (Eagle Farm)
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Eagle Farm, Australia
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Posted: a week ago
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Description
Data Governance Manager Location: Eagle Farm, Brisbane Reports To: CTO Direct Reports: 3 Industry: Retail & Hospitality About Star Hotels Group Star Group are QLD's leading independent operator of licensed venues and bottle shops and also run a number of accommodation hotels. Our team serve thousands of guests and loyal customers every day across our ~165 sites, and we’re growing fast. We pride ourselves on the consistency and reliability of our operations, and in delightfully exceeding our customers' expectations through experience, product and service at all times. Here at our Support Office in Eagle Farm, we serve two customers
- those loyal guests and customers, and our thousand plus staff who serve them. That's where you come in. Role Purpose We are seeking a hands-on and commercially minded Data & Analytics expert to work with us as Data Governance Manager to lead the company’s reporting, analytics, automation, and data platform initiatives across retail and hospitality operations. This role is responsible for managing the end-to-end data ecosystem including Microsoft Fabric, Power BI, SQL environments, Python-based analytics, workflow automations, and operational reporting across venues, retail systems, finance, loyalty, and digital platforms. The successful candidate will combine technical capability with business engagement, ensuring data is transformed into actionable insights that improve operational performance, customer experience, and executive decision-making. Key Responsibilities Data & Analytics Leadership
- Lead and mentor a small internal data team (3 direct reports)
- In co-ordination with senior leadership team, define and execute the company’s data and reporting roadmap
- Establish scalable reporting standards, governance, and data quality practices
- Partner with operational stakeholders across retail, hospitality, finance, marketing, and technology teams
- Act as the primary escalation point for analytics and reporting priorities Power BI & Reporting
- Design, develop, and maintain enterprise Power BI dashboards and reporting frameworks
- Deliver operational and executive reporting across:
- Venue performance
- Sales & margin analytics
- Product and promotion performance
- Customer and loyalty insights
- Labour and operational KPIs
- Optimise Power BI datasets, models, and refresh performance
- Manage role-based access and reporting governance Microsoft Fabric & Data Platform
- Manage and enhance Microsoft Fabric architecture and environments
- Oversee data ingestion, transformation, warehousing, and semantic models
- Develop scalable data pipelines and integration frameworks
- Support cloud-based analytics and modern data platform initiatives
- Ensure platform reliability, performance, and scalability SQL & Data Engineering
- Help support maintaining SQL procedures, views, ETL processes, and integrations
- Optimise database performance and data structures
- Support integrations between POS, ERP, ecommerce, loyalty, and operational systems
- Maintain data integrity across multiple business platforms Python & Advanced Analytics
- Use Python for data transformation, automation, analytics, and operational efficiencies
- Build reusable scripts and automation capabilities
- Support predictive analytics, forecasting, and advanced reporting initiatives where required Automation & Operational Efficiency
- Develop workflows and automations using Microsoft Power Automate and related tools
- Reduce manual operational reporting and repetitive business processes
- Improve data delivery and business workflows across departments Stakeholder Engagement
- Translate business requirements into scalable reporting and analytics solutions
- Work closely with executives and operational leaders to drive data-led decision-making
- Present insights and recommendations to senior leadership Skills & Experience Required Essential
- 5+ years’ experience in Data Analytics, BI, or Data Engineering roles
- Strong hands-on experience with:
- Microsoft Power BI
- Microsoft Fabric
- SQL Server / T-SQL
- Python
- Power Automate / workflow automation tools
- Experience building enterprise reporting and analytics solutions
- Solid understanding of data modelling and ETL/ELT concepts
- Experience managing or mentoring technical teams
- Strong stakeholder management and communication skills
- Experience within retail, hospitality, or multi-site operations environments Desirable
- Experience integrating POS, ecommerce, loyalty, or venue systems
- Understanding of Azure data services and cloud environments
- Exposure to AI-driven analytics and automation initiatives
- Experience with financial and operational KPI reporting
- Knowledge of governance, compliance, and data security best practices Key Attributes
- Commercially aware and operationally focused
- Strong problem-solving capability
- Hands-on technical leader
- Able to balance strategic planning with delivery execution
- Comfortable working in fast-paced operational environments
- Process improvement and automation mindset Success Measures
- Reliable and trusted reporting environment
- Improved operational visibility across venues and retail operations
- Increased automation and reduced manual reporting effort
- High adoption of dashboards and analytics tools by business teams
- Scalable and stable data platform architecture
- Improved data quality and governance maturity Typical Systems Exposure
- POS platforms
- Ecommerce platforms
- Loyalty & CRM systems
- Finance & ERP systems
- Venue operational systems
- Microsoft 365 ecosystem
- Azure / Microsoft Fabric environments Apply on Kit Job: kitjobau.com/job/3qfp8d
- those loyal guests and customers, and our thousand plus staff who serve them. That's where you come in. Role Purpose We are seeking a hands-on and commercially minded Data & Analytics expert to work with us as Data Governance Manager to lead the company’s reporting, analytics, automation, and data platform initiatives across retail and hospitality operations. This role is responsible for managing the end-to-end data ecosystem including Microsoft Fabric, Power BI, SQL environments, Python-based analytics, workflow automations, and operational reporting across venues, retail systems, finance, loyalty, and digital platforms. The successful candidate will combine technical capability with business engagement, ensuring data is transformed into actionable insights that improve operational performance, customer experience, and executive decision-making. Key Responsibilities Data & Analytics Leadership
- Lead and mentor a small internal data team (3 direct reports)
- In co-ordination with senior leadership team, define and execute the company’s data and reporting roadmap
- Establish scalable reporting standards, governance, and data quality practices
- Partner with operational stakeholders across retail, hospitality, finance, marketing, and technology teams
- Act as the primary escalation point for analytics and reporting priorities Power BI & Reporting
- Design, develop, and maintain enterprise Power BI dashboards and reporting frameworks
- Deliver operational and executive reporting across:
- Venue performance
- Sales & margin analytics
- Product and promotion performance
- Customer and loyalty insights
- Labour and operational KPIs
- Optimise Power BI datasets, models, and refresh performance
- Manage role-based access and reporting governance Microsoft Fabric & Data Platform
- Manage and enhance Microsoft Fabric architecture and environments
- Oversee data ingestion, transformation, warehousing, and semantic models
- Develop scalable data pipelines and integration frameworks
- Support cloud-based analytics and modern data platform initiatives
- Ensure platform reliability, performance, and scalability SQL & Data Engineering
- Help support maintaining SQL procedures, views, ETL processes, and integrations
- Optimise database performance and data structures
- Support integrations between POS, ERP, ecommerce, loyalty, and operational systems
- Maintain data integrity across multiple business platforms Python & Advanced Analytics
- Use Python for data transformation, automation, analytics, and operational efficiencies
- Build reusable scripts and automation capabilities
- Support predictive analytics, forecasting, and advanced reporting initiatives where required Automation & Operational Efficiency
- Develop workflows and automations using Microsoft Power Automate and related tools
- Reduce manual operational reporting and repetitive business processes
- Improve data delivery and business workflows across departments Stakeholder Engagement
- Translate business requirements into scalable reporting and analytics solutions
- Work closely with executives and operational leaders to drive data-led decision-making
- Present insights and recommendations to senior leadership Skills & Experience Required Essential
- 5+ years’ experience in Data Analytics, BI, or Data Engineering roles
- Strong hands-on experience with:
- Microsoft Power BI
- Microsoft Fabric
- SQL Server / T-SQL
- Python
- Power Automate / workflow automation tools
- Experience building enterprise reporting and analytics solutions
- Solid understanding of data modelling and ETL/ELT concepts
- Experience managing or mentoring technical teams
- Strong stakeholder management and communication skills
- Experience within retail, hospitality, or multi-site operations environments Desirable
- Experience integrating POS, ecommerce, loyalty, or venue systems
- Understanding of Azure data services and cloud environments
- Exposure to AI-driven analytics and automation initiatives
- Experience with financial and operational KPI reporting
- Knowledge of governance, compliance, and data security best practices Key Attributes
- Commercially aware and operationally focused
- Strong problem-solving capability
- Hands-on technical leader
- Able to balance strategic planning with delivery execution
- Comfortable working in fast-paced operational environments
- Process improvement and automation mindset Success Measures
- Reliable and trusted reporting environment
- Improved operational visibility across venues and retail operations
- Increased automation and reduced manual reporting effort
- High adoption of dashboards and analytics tools by business teams
- Scalable and stable data platform architecture
- Improved data quality and governance maturity Typical Systems Exposure
- POS platforms
- Ecommerce platforms
- Loyalty & CRM systems
- Finance & ERP systems
- Venue operational systems
- Microsoft 365 ecosystem
- Azure / Microsoft Fabric environments Apply on Kit Job: kitjobau.com/job/3qfp8d
Highlights
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Company nameStar Group Management
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Job positionData Governance Manager (Eagle Farm)
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