Manager, Data Analytics & AI in Sydney

Manager, Data Analytics & AI in Sydney

Sydney Full-Time 117000 - 143000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead a team to deliver impactful analytics & AI solutions for public sector challenges.
  • Company: Join Scyne, a leader in innovative data solutions and analytics.
  • Benefits: Enjoy flexible working, wellness perks, and generous parental leave.
  • Other info: Diverse and inclusive workplace with strong growth opportunities.
  • Why this job: Make a real difference by helping organisations use data effectively.
  • Qualifications: Experience in analytics, team leadership, and stakeholder engagement required.

The predicted salary is between 117000 - 143000 $ per year.

At Scyne, we bring deep, diverse expertise and leverage technology in meaningful ways to tackle Australia’s most complex public-sector challenges—guiding projects from policy design to actionable insight and lasting impact. We are seeking an experienced Data Analytics & AI Manager to lead the delivery of analytics & AI based solutions that help clients and stakeholders make better decisions through data. This role sits at the intersection of people leadership, delivery management, stakeholder engagement, and analytics expertise.

As a leader within the team, you will be responsible for managing the successful delivery of analytics & AI based initiatives, developing consultants and analysts, and building trusted relationships with clients and business stakeholders. You will bring a strong understanding of reporting, dashboarding, data transformation, performance measurement, business analytics, and AI applied in data analytics/data science context, while maintaining a practical focus on delivering outcomes and value.

This role is ideal for an experienced analytics & AI professional who enjoys leading teams and working directly with stakeholders to solve complex business challenges. While experience with cloud platforms, software development or advanced analytics is valuable, the primary focus is on strong analytics fundamentals, AI applied in an analytics context, business engagement and delivery leadership.

What You’ll Be Doing

  • You will lead a team of analytics professionals, providing coaching, mentorship, and direction to support both project delivery and individual development.
  • You'll create an environment where team members can grow their technical and consulting capabilities while delivering high-quality outcomes for clients and stakeholders.
  • A significant part of the role involves partnering with business leaders to understand their objectives, challenges, and opportunities.
  • You'll help shape analytics & AI solutions that address real business needs, translating complex requirements into practical reporting, dashboarding, and data-driven decision-making capabilities.
  • You will oversee the end-to-end delivery of analytics & AI initiatives, ensuring solutions are fit for purpose, technically sound, and aligned to stakeholder expectations.
  • This may include everything from defining KPI frameworks, modelling and AI approaches and reporting strategies to managing data transformation activities and guiding the development of dashboards and analytical products.
  • As a manager, you’ll also play an important role in driving the maturity of Scyne’s Data & AI practice.
  • You’ll promote best practice approaches, identify opportunities for continuous improvement, and help evolve our analytics & AI capabilities in line with changing business and client needs.

Key areas of responsibility include:

  • Managing stakeholder relationships and acting as a trusted advisor.
  • Leading and developing a team of analysts and consultants.
  • Overseeing the delivery of dashboards, reports, metrics, analytics and AI solutions.
  • Defining and governing KPI frameworks and performance reporting.
  • Managing project priorities, delivery risks, and resource allocation.
  • Driving analytics & AI best practices, quality standards, and continuous improvement initiatives.
  • Contributing to capability development across data, analytics, AI, and reporting disciplines.

About You

You are a well-rounded analytics & AI professional with experience leading teams and delivering analytics & AI outcomes in complex environments. You combine strong technical foundations with excellent communication skills and are comfortable engaging with stakeholders at all levels of an organisation.

You understand that effective analytics & AI is about more than technology. You can connect business goals to meaningful insights, bring clarity to ambiguous problems, and guide teams in delivering solutions that have a measurable impact.

You will likely bring experience in:

  • Leading analytics, reporting, business intelligence, or data teams.
  • Delivering reporting and dashboarding solutions using tools such as Power BI, Tableau, or similar platforms.
  • Working with data transformation processes in Python, Alteryx and SQL-based data environments.
  • Using AI in an analytics context to deliver projects and build solutions in a fast moving client environment.
  • Developing KPIs, metrics, and performance measurement frameworks.
  • Managing stakeholder relationships across business and technology domains.
  • Delivering projects or consulting engagements within complex organisational environments.
  • Coaching and developing team members to achieve both professional and delivery outcomes.

Experience with cloud-based analytics platforms, data engineering practices, software development, or modern data architectures would be advantageous, but is not essential.

What Success Looks Like

Success in this role will be measured not only by the quality of analytics solutions delivered, but by the strength of stakeholder relationships, the growth and engagement of your team, and your ability to help public purpose organisations use data more effectively to drive decisions and outcomes.

You’ll be someone who can comfortably move between strategic conversations with senior leaders, delivery discussions with project teams, and technical conversations with analysts and developers. Most importantly, you’ll help create an environment where great analytics work translates into real business value.

Additional Information

  • Market leading Parental Leave: Allows either carer to take 26 weeks of leave, flexibly, until a child is two years of age.
  • Flexible working: Our people have the autonomy to choose where and when they work so they can integrate their professional and personal lives.
  • Additional leave: Includes Birthday leave, First Nations Cultural Leave, Floating Public Holidays, Leave+ (purchased leave up to 12 weeks), Study Leave, Volunteering Leave, and more!
  • Smart device reimbursement: Working flexibly means accessing the information you need on the go.
  • Wellness and Lifestyle benefits: We’ll give you $295 a year to spend on items or activities that support your wellness.
  • Sonder: A digital care platform that empowers people to actively take control of their wellbeing.

We champion a culture of diversity, equity, and inclusion, recognising that collective intelligence and varied perspectives are crucial for delivering exceptional outcomes for Australia's public sector. We actively encourage applications from individuals within marginalised and historically underrepresented communities.

Manager, Data Analytics & AI in Sydney employer: Scyne Advisory Pty

At Scyne, we pride ourselves on being a purpose-driven employer that champions collaboration and innovation within the public sector. Our commitment to employee wellbeing is reflected in our flexible working arrangements, extensive leave options, and a culture that values diversity and inclusion. With opportunities for professional growth and a supportive team environment, we empower our employees to make a meaningful impact in the communities we serve.

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Contact Details:

Scyne Advisory Pty Recruitment Team

We think you need these skills to ace Manager, Data Analytics & AI in Sydney

Data Analytics
AI Solutions
Stakeholder Engagement
Team Leadership
Coaching and Mentorship
Reporting and Dashboarding
Data Transformation