Manager (Data Analytics & AI) - Audit and Assurance

This is a Manager (Data Analytics & AI) - Audit and Assurance role with KPMG Australia based in Sydney, NSW, AU
== KPMG Australia ==

Role Seniority - mid level

More about the Manager (Data Analytics & AI) - Audit and Assurance role at KPMG Australia

Company Description

KPMG Enterprise is a specialist division of KPMG Australia, dedicated to advising the emerging, private and mid-market. We work with established and emerging entrepreneurs, family businesses, private clients, not-for-profits and fast-growing companies to build successful, efficient and resilient organisations. By bringing our diverse expertise together, we give our clients the confidence to focus on the things that will truly make an impact and help them grow.

Join KPMG's cutting-edge Data & AI team and help redefine the future of audit and assurance. As part of our Enterprise Audit & Assurance Division, you'll be at the forefront of innovation—leveraging intelligent automation, data engineering, and artificial intelligence to deliver smart, scalable solutions. Our mission is to solve complex challenges with data-driven technologies that empower our audit teams and clients alike.

Job Description

As a Manager in the Data & AI team, you'll play a pivotal role in transforming how KPMG delivers audit and assurance services through data-driven innovation. Your key responsibilities will include:

Leadership & Strategy

• Lead a team of data professionals to design and deliver intelligent, forward-thinking assurance solutions.

• Shape and implement strategies for data analytics, AI, and digital transformation across audit engagements.

• Support the development and execution of technology strategy and governance frameworks.

Innovation & Delivery

• Drive the integration of AI, automation, and analytics into audit processes to enhance quality, efficiency, and insights.

• Test, deploy, and refine new tools and technologies including generative AI, intelligent automation, and cloud-based platforms.

• Oversee the development of data models, algorithms, and dashboards that provide actionable insights for clients and audit teams.

• Lead development of Extraction, Transformation and Loading capabilities for key ERP systems

Project & Client Management

• Manage a portfolio of engagements, ensuring timely delivery, quality outcomes, and client satisfaction.

• Collaborate with cross-functional teams to deliver comprehensive audit technology solutions.

• Contribute to business development through proposal creation, client presentations, and identifying new opportunities.

Technical Expertise

• Apply advanced skills in tools such as Microsoft Fabric, Databricks, SQL, Alteryx, Python, Power BI, Power Automate, Azure, and Generative AI.

• Leverage ERP systems knowledge (e.g., SAP, Oracle, Dynamics, Xero, MYOB, NetSuite) to support data extraction and analysis.

• Stay current with emerging technologies and trends in data science, AI, and cloud services.

Team Development

• Mentor and coach junior team members, including offshore staff, to build technical capability and career growth.

• Deliver training sessions and foster a culture of continuous learning and innovation.

Operational Excellence

• Monitor and manage project financials including budgeting, billing, and collections.

• Ensure compliance with KPMG's data and AI standards and maintain high levels of audit quality.

What you bring

• Proven experience in data analytics, AI, or tech consulting, with 2+ years in leadership.

• Expertise in tools like Databricks, Microsoft Fabric, SQL, Alteryx, Python, Power BI, Azure, and Generative AI.

• Strong understanding of ERP systems )e.g., SAP, Oracle, MYOB, Xero and NetSuite) is preferred

• Proven ability to manage projects, mentor teams, and build client relationships.

Qualifications

A degree in Computer Science, Engineering, Analytics, or a related field (Master's preferred).

Additional Information

KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth. 

Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who've got your back. You'll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.

At KPMG, you'll take control over how you work. We're embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.

Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Attraction Support Team.

At KPMG every career is different, and we look forward to seeing how you grow with us.

Before we jump into the responsibilities of the role. No matter what you come in knowing, you'll be learning new things all the time and the KPMG Australia team will be there to support your growth.

Please consider applying even if you don't meet 100% of what's outlined

Key Responsibilities

• Leading a team
• Driving innovation
• Managing client engagements

Key Strengths

• Data analytics
• AI and automation tools
• ERP systems knowledge
• Project management
• Mentoring and coaching
• Continuous learning

Why KPMG Australia is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that's right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with KPMG Australia not with Hatch.

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