Client Director Jobs in New Zealand

Accenture NZ – D&AI Managers

Location: Auckland

We are seeking Managers to help drive AI and data strategies for our clients. Whether you're looking to lead teams or provide strategic insights, this role offers an exciting opportunity to work on impactful projects.

Why Join Accenture New Zealand’s Data & AI Practice?

At Accenture New Zealand, we believe in empowering our people to do their best work while fostering a culture of innovation, collaboration, and continuous learning. As part of our Data & AI practice, you’ll have the opportunity to work on cutting-edge technologies, solve real-world challenges, and drive meaningful impact for our clients.

Key Responsibilities

• Build and lead diverse teams with both qualitative and quantitative expertise, using insights-led approaches to respond to evolving market needs.
• Manage client relationships, ensuring successful execution of AI and data projects.
• Drive growth and innovation within the AI practice.
• Present data-driven strategies to senior business leaders and influence decision-making.
• Advise business leaders, providing compelling, data-driven strategies that exceed expectations.
• Manage multiple projects across industries, developing evidence-based solutions.
• Communicate insights effectively, delivering reports and presentations to internal and client stakeholders.
• Respond to critical challenges in areas such as data governance, machine learning, and NLP, both internally and for clients.
• Articulate business impact through scientific storytelling and advanced visualization techniques.
• Develop AI-driven language solutions, enabling systems to interpret, understand, and respond to human speech.
• Design and implement AI solutions, applying deep learning and neural network models to transform data into actionable insights.
• Lead end-to-end engagements, from ideation and prototyping to solution development and deployment.

Qualifications

About You

• Strong expertise in data-driven insights, with a passion for helping clients advance their data and analytics maturity.
• Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related field.
• 7+ years of experience in deploying machine learning algorithms for analytics-driven digital transformations.
• 3+ years of experience in people management, leading teams in AI and data projects.

Core Technical Skills

• Natural Language Understanding (NLU), Conversational AI (Virtual Agents), and Narrative Science.
• Speech-to-Text, Text-to-Speech, and related AI-driven language solutions.
• Computer Vision, including face recognition and handwriting recognition.
• Experience with Snowflake, Apache Spark, Microsoft Azure Machine Learning, Mathematical Programming, and Sentiment Analysis.

Why Join Accenture?

• Innovative Work: Solve complex business challenges using cutting-edge AI, machine learning, and data analytics technologies.
• Career Growth: Access world-class training, certifications, and mentorship to accelerate your career.
• Flexible Work Arrangements: Options that acknowledge employees' roles beyond the workplace.
• Global Network: Work alongside top industry experts and contribute to projects for leading global and local clients.
• Competitive Benefits: Access market-leading remuneration, employee wellness programs, and professional development support.

About Accenture NZ

Accenture in New Zealand delivers on the promise of technology and human ingenuity.

We live, breathe, and love New Zealand. We’re local partners backed by global experience and capabilities. Transforming organisations through innovation, industry experience, and technology, we enable you to achieve your goals. Working with and for our communities, we travel alongside fellow Kiwis on a journey of positive transformation, doing the right thing by our society to ensure a thriving New Zealand.

We are changing the world fast, come with us. Click here to know more on how we work : Artificial Intelligence (AI) Services & Solutions | Accenture