Senior Lead, Data Analytics

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

• Insights and Analytics Unit, Sunshine Coast or Moreton Bay Campus (Relocation assistance available)
• Level 10, $148,551 p.a., plus up to 17% employer superannuation
• Full-time, ongoing appointment

The Opportunity

Data and information are critical strategic assets that underpin informed decision‑making, institutional performance, compliance, and long‑term sustainability at UniSC.

Reporting to the Chief Data Officer, the Senior Lead, Data Analytics is a senior leadership role within the Insights and Analytics Unit (IAU), responsible for leading the strategic and technical evolution of UniSC’s enterprise data and analytics capability. This role will drive the continuous enhancement of enterprise data platforms, analytics environments, and modern data practices to maximise the value of institutional data assets and strengthen evidence‑informed decision‑making across the University.

You will provide leadership across enterprise data warehousing, analytics, business intelligence, data integration, and modern cloud‑based analytics platforms, while fostering an insight‑driven culture that enables better strategic and operational outcomes.

Working closely with executive leaders, academic and professional staff, and technology specialists, you will play a key role in shaping UniSC’s future analytics ecosystem and advancing organisational data maturity.

You will

• Lead the continuous enhancement of UniSC's enterprise data and analytics capability, ensuring trusted, scalable, and accessible information supports strategic and operational decision‑making.
• Drive the evolution and optimisation of enterprise data platforms, including data warehouse, data lake, analytics, reporting and business intelligence environments.
• Lead the design and implementation of modern analytics architectures, data models, and integration capabilities that enable sustainable and scalable analytics services.
• Partner with executive and senior stakeholders to embed evidence‑informed decision‑making and strengthen organisational analytics maturity.
• Lead and develop specialist teams of data engineers, developers, and business intelligence professionals while fostering a culture of innovation, collaboration, and continuous improvement.
• Evaluate and leverage emerging technologies, including AI and automation, to enhance analytics capability and organisational outcomes.

About you

You are an accomplished data and analytics leader who combines strategic vision with strong technical expertise. You have successfully led enterprise data and analytics transformations and understand how modern data platforms, analytics environments, and governance frameworks work together to create organisational value.

You are equally comfortable engaging with executive stakeholders on strategic priorities as you are leading technical teams through complex data and analytics initiatives. You enjoy building capability, influencing change, and creating sustainable solutions that improve organisational performance.

Most importantly, you bring a collaborative leadership style, a commitment to innovation, and a passion for helping organisations realise the full value of their data assets.

You will possess

• Extensive experience leading enterprise data and analytics functions within large and complex organisations.
• Strong technical expertise across enterprise data warehousing, data integration, data modelling, business intelligence, cloud‑based analytics platforms, and modern data architectures, particularly within the Microsoft ecosystem.
• Demonstrated experience leading the strategic uplift and optimisation of enterprise data platforms, and analytics environments.
• Proven capability delivering scalable analytics solutions, dashboards, reporting environments, and self‑service analytics capability that support organisational decision‑making.
• Strong understanding of contemporary data governance, privacy, information management, and trusted data practices.
• Exceptional leadership, communication, stakeholder engagement, and influencing skills, with experience working effectively at executive level.
• A track record of leading organisational change, innovation, and capability uplift in data‑driven environments.
• An understanding of emerging trends in AI, automation, and advanced analytics, and their application within enterprise environments.
• Relevant postgraduate qualifications or an equivalent combination of extensive experience, knowledge, and leadership capability.

UniSC is an equal opportunity employer, committed to diversity and inclusion. We encourage applications from all backgrounds, including those with disabilities, women in STEM, First Nations Peoples, and individuals of diverse cultures, genders, abilities, and experiences. We value achievement relative to opportunity and encourage your commentary on your achievements in this context. For additional support during the application process, please contact us at [e-mail] or call [phone].

Applications for this position close midnight, Sunday 28 June 2026.