Due to continued growth we are seeking an experienced Associate Director to join our ThinkPay team within the Enterprise Advisory division. This is a leadership role that will see you managing high-impact consulting engagements and guiding clients through complex payroll and workforce compliance challenges.
Key Responsibilities
- Lead and deliver complex consulting engagements across data analytics payroll remediation workforce compliance.
- Act as a trusted advisor to clients managing relationships and providing strategic insights.
- Drive risk management and remediation programs with a focus on quality and impact.
- Mentor and lead multidisciplinary teams fostering capability and professional growth.
How are you extraordinary
You are a strategic thinker and problem solver with a passion for delivering value through data and advisory services. You bring:
- Strong data analytics skills including cleansing modelling and insights generation.
- Advanced proficiency in SQL and Python; experience with Azure and cloud-based analytics platforms is highly regarded.
- Strong project management skills ideally with experience in remediation programs.
- Excellent communication and stakeholder engagement capabilities.
- Proven experience in data analytics payroll remediation workforce compliance or broader consulting.
- Background in a Big 4 mid-tier or boutique consulting firm or experience in data teams within large organisations.
Qualifications :
- STEM degree in the field of Science Technology Engineering or Mathematics.
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 whove got your back. Youll 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 youll take control over how you work. Were 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.
Remote Work :
No
Employment Type :
Full-time
Due to continued growth we are seeking an experienced Associate Director to join our ThinkPay team within the Enterprise Advisory division. This is a leadership role that will see you managing high-impact consulting engagements and guiding clients through complex payroll and workforce compliance cha...
Due to continued growth we are seeking an experienced Associate Director to join our ThinkPay team within the Enterprise Advisory division. This is a leadership role that will see you managing high-impact consulting engagements and guiding clients through complex payroll and workforce compliance challenges.
Key Responsibilities
- Lead and deliver complex consulting engagements across data analytics payroll remediation workforce compliance.
- Act as a trusted advisor to clients managing relationships and providing strategic insights.
- Drive risk management and remediation programs with a focus on quality and impact.
- Mentor and lead multidisciplinary teams fostering capability and professional growth.
How are you extraordinary
You are a strategic thinker and problem solver with a passion for delivering value through data and advisory services. You bring:
- Strong data analytics skills including cleansing modelling and insights generation.
- Advanced proficiency in SQL and Python; experience with Azure and cloud-based analytics platforms is highly regarded.
- Strong project management skills ideally with experience in remediation programs.
- Excellent communication and stakeholder engagement capabilities.
- Proven experience in data analytics payroll remediation workforce compliance or broader consulting.
- Background in a Big 4 mid-tier or boutique consulting firm or experience in data teams within large organisations.
Qualifications :
- STEM degree in the field of Science Technology Engineering or Mathematics.
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 whove got your back. Youll 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 youll take control over how you work. Were 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.
Remote Work :
No
Employment Type :
Full-time
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