Senior Lead, Data Analytics — Enterprise Data Leader

University of the Sunshine Coast; City of Melbourne; On-site; AUD 133,695 - 163,406; Full time

Job summary

The University of the Sunshine Coast is seeking a Senior Lead, Data Analytics to enhance its enterprise data and analytics capability. This role involves leading data-driven initiatives and ensuring strategic decision-making through efficient data practices.

We seek an experienced leader in data and analytics, capable of shaping the university's future analytics ecosystem and fostering collaboration across departments. A commitment to innovation and a strong technical background in Microsoft data solutions are essential for success in this role.

Applications close midnight, Sunday 28 June 2026. Contact [e-mail] for inquiries.

Qualifications

• Extensive experience leading enterprise data and analytics functions.
• Strong technical expertise across relevant data platforms.
• Exceptional leadership and communication skills.

Responsibilities

• Lead the enhancement of data analytics capabilities at UniSC.
• Drive the evolution of enterprise data platforms.
• Lead the design of modern analytics architectures and data models.
• Partner with stakeholders to embed evidence-informed decision-making.
• Lead and develop teams of data professionals.
• Leverage emerging technologies to enhance analytics.

Skills

Leadership in data and analytics

Enterprise data warehousing

Data integration

Business intelligence

Cloud-based analytics platforms

Data modeling

Stakeholder engagement

Change management

Education

Relevant postgraduate qualifications

Job description

The University of the Sunshine Coast is seeking a Senior Lead, Data Analytics to enhance its enterprise data and analytics capability. This role involves leading data-driven initiatives and ensuring strategic decision-making through efficient data practices.

We seek an experienced leader in data and analytics, capable of shaping the university's future analytics ecosystem and fostering collaboration across departments. A commitment to innovation and a strong technical background in Microsoft data solutions are essential for success in this role.

Applications close midnight, Sunday 28 June 2026. Contact [e-mail] for inquiries.