Verified Job
Marketing
Senior Manager, Marketing Data Performance & Intelligence
Marketing
#47431
Remote / WFH
Monash University
Job Description
Join Monash University as a Senior Manager, Marketing Data Performance and Intelligence and lead the design, governance and performance measurement of the University’s enterprise marketing data ecosystem.
This role sits at the intersection of marketing, data engineering and analytics, with responsibility for ensuring marketing data is structured, governed and operationalised for trusted reporting, insight generation and performance optimisation at scale.
You will define and steward the marketing data architecture across CRM, CDP, Martech and analytics platforms, ensuring consistent data models, scalable pipelines and high-quality data products that support downstream reporting, activation and experimentation.
Operating with strong executive visibility, you will translate complex datasets into structured performance frameworks, enabling attribution, funnel analysis, predictive modelling and decision-grade insights across the student lifecycle. You will also lead a specialist team spanning data governance, analytics engineering and performance reporting, embedding robust standards for data quality, metadata, lineage and compliance.
Key Responsibilities
Lead the architecture, design and optimisation of the marketing data ecosystem across CRM, CDP, Martech and analytics platforms
Define and maintain canonical data models, taxonomies, data marts and semantic layers for marketing reporting and activation
Establish and govern enterprise-wide data standards, including metadata, lineage, quality rules and access controls
Design and implement marketing performance frameworks covering funnel analytics, attribution, cohort analysis and channel performance
Develop executive reporting layers, dashboards and data products that translate complex datasets into decision-ready insights
Support predictive modelling, forecasting and experimentation frameworks across the lead-to-enrolment funnel
Lead data governance practices ensuring privacy, compliance, auditability and data integrity across all marketing datasets
Build and lead a multidisciplinary team spanning analytics, reporting and data governance capability
Key Selection Criteria
Senior experience leading marketing data, analytics engineering or data governance functions in complex enterprise environments
Deep expertise in marketing analytics, attribution modelling, funnel analysis and performance measurement frameworks
Strong capability in designing and stewarding data architectures, including data marts, canonical models and integration across CRM/CDP ecosystems
Proven experience implementing data governance frameworks including data quality, metadata management, lineage and access controls
Strong commercial and analytical acumen with ability to translate complex datasets into actionable business insights
Experience with predictive modelling, forecasting and statistical methods applied to marketing or customer lifecycle data
Demonstrated ability to influence senior stakeholders through structured insight, narrative and data storytelling
Proven leadership of technical or hybrid teams across analytics, data engineering or BI functions
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
This role sits at the intersection of marketing, data engineering and analytics, with responsibility for ensuring marketing data is structured, governed and operationalised for trusted reporting, insight generation and performance optimisation at scale.
You will define and steward the marketing data architecture across CRM, CDP, Martech and analytics platforms, ensuring consistent data models, scalable pipelines and high-quality data products that support downstream reporting, activation and experimentation.
Operating with strong executive visibility, you will translate complex datasets into structured performance frameworks, enabling attribution, funnel analysis, predictive modelling and decision-grade insights across the student lifecycle. You will also lead a specialist team spanning data governance, analytics engineering and performance reporting, embedding robust standards for data quality, metadata, lineage and compliance.
Key Responsibilities
Lead the architecture, design and optimisation of the marketing data ecosystem across CRM, CDP, Martech and analytics platforms
Define and maintain canonical data models, taxonomies, data marts and semantic layers for marketing reporting and activation
Establish and govern enterprise-wide data standards, including metadata, lineage, quality rules and access controls
Design and implement marketing performance frameworks covering funnel analytics, attribution, cohort analysis and channel performance
Develop executive reporting layers, dashboards and data products that translate complex datasets into decision-ready insights
Support predictive modelling, forecasting and experimentation frameworks across the lead-to-enrolment funnel
Lead data governance practices ensuring privacy, compliance, auditability and data integrity across all marketing datasets
Build and lead a multidisciplinary team spanning analytics, reporting and data governance capability
Key Selection Criteria
Senior experience leading marketing data, analytics engineering or data governance functions in complex enterprise environments
Deep expertise in marketing analytics, attribution modelling, funnel analysis and performance measurement frameworks
Strong capability in designing and stewarding data architectures, including data marts, canonical models and integration across CRM/CDP ecosystems
Proven experience implementing data governance frameworks including data quality, metadata management, lineage and access controls
Strong commercial and analytical acumen with ability to translate complex datasets into actionable business insights
Experience with predictive modelling, forecasting and statistical methods applied to marketing or customer lifecycle data
Demonstrated ability to influence senior stakeholders through structured insight, narrative and data storytelling
Proven leadership of technical or hybrid teams across analytics, data engineering or BI functions
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
