Data Analytics Transformation Manager

Description:

Full Job Description

Swinburne University of Technology has created a new and exciting position as a Data Analytics Transformation Manager. The role will primarily focus on executing Swinburne’s data strategy and embed transformational change. To achieve this, we are seeking for a strategic leader and change agent in data operating models. The successful incumbent will adopt a strategic approach and strong influence across senior stakeholders enterprise wide.

As a Data Analytics Transformation Manager, you will implement Swinburne’s data strategy program and work with key stakeholders enterprise-wide to map their data journeys in line with Swinburne’s Horizon 2025 strategic plan. You will transform the current operating model across people, process and technology on provisioning data and analytics services across the organisation. The role will bring to life a seamless data and analytics agenda geared towards solving our most complex business challenges with powerful business insights. You will encourage a shift in the organisational culture to mature our data analytics capability and provide a single source of truth, supporting decisions with trusted empirical evidence that is visible widely.

About You
To be suitable for this role you will need to have experience in the below key accountabilities:

• Demonstrated skills with change management concepts and strategies in data, including communication and successfully embedding change to lift data maturity.
• Demonstrated experience in leading and implementing complex, multi-year data and analytics transformation projects.
• Highly developed stakeholder management skills with a proven ability to establish strong working relationships at an executive and senior level.
• Demonstrated background as a successful Program Manager/Delivery Lead in managing complex data analytics programs in a medium-sized, diverse organisation.
• Solid understanding in both Agile and traditional project management principles and practices.
• Experience leading data analytics teams, developing people, and building high performing teams.