Data Analytics & AI Manager

Lead and deliver complex analytics engagements across a range of sectors, with a strong emphasis on compliance, assurance and risk-related analytics, including:

• Wage compliance and wage remediation programs
• Internal audit analytics and continuous monitoring solutions
• Fraud analytics
• Data and AI governance reviews
• Data migration and transformation assurance
• Financial and operational data analysis

Responsibilities include:

• Managing end-to-end engagements from proposal through to delivery.
• Leading data-driven reviews involving large and complex datasets.
• Designing and implementing analytics methodologies and testing approaches.
• Presenting findings and recommendations to clients in a clear, practical and business-focused way.
• Managing project budgets, timelines and team resources.
• Coaching and developing consultants and senior consultants.
• Working closely with the Sydney Risk Advisory team on engagements where analytics enhances risk, compliance or assurance outcomes.

Practice Contribution & Business Development

As a member of the Sydney and national Data Analytics & AI team, you will contribute to the growth of the practice through:

• Building trusted relationships with existing and prospective clients.
• Identifying opportunities to add value to existing engagements through analytics, automation or assurance-focused data analysis.
• Supporting proposal development, tenders and client presentations.
• Collaborating with the Sydney Risk Advisory team on joint opportunities and integrated client solutions.
• Working with the Melbourne Data Analytics team to bring established service offerings to the Sydney market.
• Contributing to thought leadership, marketing initiatives and industry networking activities where appropriate.

We are looking for someone with a genuine growth mindset who is excited by the opportunity to help build a stronger Sydney capability over time. The role is not intended to require an existing book of business, but it does require commercial awareness, client confidence and a willingness to contribute to sustainable growth.

Our analytics solutions are primarily delivered using:

• SQL
• Python
• Microsoft Fabric
• Azure Data Platform
• Power BI
• AI and Generative AI technologies (Claude, LM Studio + open-source models)

You should have practical experience developing and leading analytics solutions using modern data platforms and be comfortable engaging with technical specialists. Deep hands-on expertise across every platform is not required, but you should be able to lead the design, delivery and interpretation of data-driven work.

• 5+ years' experience delivering data analytics projects.
• Strong project management and client relationship skills.
• Experience managing and mentoring staff.
• Experience working with large and complex datasets.
• Ability to translate technical findings into business-focused insights.
• Strong written and verbal communication skills.
• Commercial mindset with experience managing engagement scope, budgets and profitability.
• Experience using SQL and/or Python for data analysis.
• Experience with Power BI or similar visualisation platforms.
• Demonstrated ability to build trusted relationships with stakeholders.

In this role, success will be measured by your ability to:

• Deliver exceptional client outcomes across risk, compliance, assurance and analytics engagements.
• Build strong working relationships across the Sydney Risk Advisory team and the national Data Analytics & AI team.
• Contribute to sustainable practice growth in Sydney over time.
• Support proposal and business development activity through strong technical and commercial input.
• Develop and mentor high-performing team members.
• Create practical analytics, automation and AI-enabled solutions that improve client outcomes.
• Help establish RSM as a leading provider of analytics-driven risk, compliance and assurance services.