Senior Manager, Data Engagement & Analytics

Make an impact at the University of Wollongong (UOW) - a purpose-driven institution ranked in the top 1% of universities globally.

About the Role

Lead the delivery and embedding of insightful data analytics that support informed decision-making across UOW. Combining strategic leadership, business insight and technical expertise, you will guide the University's analytics roadmap, build trusted stakeholder partnerships and help strengthen a data-driven culture across the organisation.

Key responsibilities

• Lead and embed analytics into business processes, supporting change and prioritising work to deliver outcomes aligned with University objectives.
• Oversee the design and delivery of self-service analytics solutions and innovative data products and insights.
• Manage projects, requests and enhancements that support the Enterprise Data roadmap and evolving stakeholder needs.
• Lead a multidisciplinary analytics team, balancing workload, resources and project schedules while building capability and knowledge sharing.
• Build strong relationships with senior stakeholders and domain experts to translate complex business challenges into actionable, trusted insights.

About the Team

The role sits within Enterprise Data in the Financial Services & Enterprise Data Division and reports to the Director, Enterprise Data. You will lead Senior Data Engagement and Analytics Partners and Data Insights and Analytics Specialists, working with senior leaders, data custodians, system owners, vendors and other stakeholders to deliver well-governed data and analytics that enable the University's academic, research and community objectives.

What You'll Bring

• Relevant tertiary qualifications and/or data and analytics experience in higher education.
• Extensive experience leading the delivery of data analytics and insights functions, including managing teams with competing priorities and demand.
• Knowledge of advanced analytics, including artificial intelligence, machine learning and predictive modelling.
• Knowledge of data technologies including data warehousing, visualisation and analysis tools, with the ability to apply broad university data knowledge to ensure accurate insights.
• Excellent communication and influencing skills, with the ability to simplify complex information and build productive stakeholder relationships.

Why Join UOW

• Competitive salary package including 17% superannuation
• Flexible working arrangements and family-friendly policies
• Generous leave entitlements including additional concession days over the Christmas-New Year period
• Purchased leave options to provide greater flexibility throughout the year
• Ongoing professional development and clear career progression opportunities

Role Details

Employment type: Permanent/continuing, full-time
Level 8/9 $123,283 - $152,959 + 17% superannuation
Location: Wollongong Campus
Valid Australian work rights required. Visa sponsorship is not available.

Position Description

For further information about this position, please contact Bradley Dixon, Director Enterprise Data

Closing Date

Tuesday 6 October 2026, 11:55pm

Equity, Diversity & Inclusion

The University of Wollongong is committed to fostering an inclusive and equitable workplace where diversity is valued, respected and celebrated. We strive to create a workplace that reflects the communities we serve, removes barriers to participation, and provides equitable opportunities for staff to reach their full potential. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people of all gender identities and sexual orientations, people from culturally and linguistically diverse backgrounds, people with disability, and those with caring or family responsibilities.

As required by federal legislation, prospective employees are required to declare whether they have been investigated for an allegation of Gender based Violence or determined to have engaged in conduct that constitutes Gender based Violence, during their previous employment, or otherwise in a legal process. Any such declaration will be included in the University's employment screening processes and will be treated with the strictest confidence and in compliance with all privacy legislation.