Manager / Senior Manager - Data Generalist

KPMG is one of the most trusted and respected global professional services firms. Through depth of expertise, clarity of insight and strength of purpose we help our clients solve complex problems, steer change, strengthen, transition and grow. We are looking for talented people who share our purpose of inspiring confidence and empowering change for our clients, our people and our communities.

The consulting environment at KPMG is dynamic and fast-paced, offering diverse opportunities to work on challenging projects with leading organisations across various industries. As a consultant at KPMG, you will be part of a collaborative team that provides strategic insights and innovative solutions to help clients address complex business issues and drive growth. You will work with experienced professionals who are committed to delivering high-quality services and fostering a culture of continuous learning and professional development.

• • The KPMG Data and AI team leverage expertise in analytics, data engineering, data science, advanced visualisation and artificial intelligence to help our clients solve a range of challenges and effectively use insights.
• We're seeking a Data Consultant to support the way that we deliver projects to our clients. This role requires a self-starting and motivated person to produce the required high standard of deliverables.

• • Engage with stakeholders throughout the organisation to identify opportunities for leveraging data to drive business solutions
• Assist in building the pipeline of projects for the team, through Business Development, networking and responding to requests for proposals.
• Be an adept translator, translating business requirements into technical deliverables
• Project manage and deliver data analytics, business intelligence (BI), artificial intelligence (AI) projects and analytics-as-a-service solutions, including resourcing, scoping, pricing and on-budget delivery
• Manage a team of consultants and data specialists to ensure efficient and high quality delivery of projects
• Performance manage / mentor junior staff members
• Have an agile mind-set and understand agile methodologies – you'll have the ability to pivot & adapt quickly
• Have an understanding of Data Governance and Risk frameworks

• • Excellent written and verbal communication skills, with proven ability to work with cross functional teams to translate business issues into potential analytics solutions
• 5+ years hands-on experience, in a consulting role preferred
• Qualification in Science, Statistics, Mathematics, Computer Science, Software Engineering, Information Systems or another quantitative field
• Experience in managing and leading advanced analytics and business intelligence projects
• Experience in managing and leading statistical modelling, machine learning or AI projects
• Experience with implementing data and AI solutions and applications on cloud (e.g. data warehouses, data lakes, AI agents)
• High integrity and a professional background
• Deliver on objectives with a hands-on approach and be a collaborative team playe

Recruitment Agencies: The recruitment for this role is being managed directly by the KPMG Talent Acquisition team. We will contact our preferred agency partners if we require agency assistance. Thank you for your understanding.

Life at KPMG

KPMG values diversity in the workforce and we encourage candidates from diverse backgrounds to apply for roles, including individuals with a disability, additional mental health needs, chronic health conditions or who identify as neurodivergent.

For disabled and neurodiverse candidates, if you encounter accessibility barriers or if you have access needs and require support to participate equitably in the recruitment process, please phone Enya van Dulm on or email [email protected]

We offer rewarding careers to talented individuals and a holistic range of benefits to support your life balance, whatever your circumstance. We want you to do Work That Matters, Thrive and Grow and know that you Belong here with us, at KPMG.

As a KPMG employee, we will offer you:

— Access to the firm's annual incentive scheme

— Opportunities for local and international secondments

— Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work

— Flexible leave options, including the ability to purchase additional annual leave

— Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents

— A paid professional association membership of your choice

— Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees

— A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services

— The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups

— The opportunity to participate in Green Team activities, as we work toward reducing the firm's environmental footprint and become carbon zero by 2030

— An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities

— Paid time off for volunteering and involvement in citizenship activities

— An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more

We believe that diversity of background and experience strengthens relationships and delivers meaningful benefits to our people, clients and communities. Our goal is to be recognised as an employer of choice for all, irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability. Further info can be found on our website.