Accenture NZ – Data & AI Managers

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OtherData & Ai Engineer

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Overview

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,

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OtherData & Ai Engineer

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.

What We Offer

~3 min read

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.

✓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.

✓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.

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.

As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.

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