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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:
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Build and lead diverse teams with both qualitative and quantitative expertise, using insights-led approaches to respond to evolving market needs.
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Manage client relationships, ensuring successful execution of AI and data projects.
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Drive growth and innovation within the AI practice.
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Present data-driven strategies to senior business leaders and influence decision-making.
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Advise business leaders, providing compelling, data-driven strategies that exceed expectations.
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Manage multiple projects across industries, developing evidence-based solutions.
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Communicate insights effectively, delivering reports and presentations to internal and client stakeholders.
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Respond to critical challenges in areas such as data governance, machine learning, and NLP, both internally and for clients.
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Articulate business impact through scientific storytelling and advanced visualization techniques.
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Develop AI-driven language solutions, enabling systems to interpret, understand, and respond to human speech.
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Design and implement AI solutions, applying deep learning and neural network models to transform data into actionable insights.
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Lead end-to-end engagements, from ideation and prototyping to solution development and deployment.
About You
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Strong expertise in data-driven insights, with a passion for helping clients advance their data and analytics maturity.
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Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related field.
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7+ years of experience in deploying machine learning algorithms for analytics-driven digital transformations.
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3+ years of experience in people management, leading teams in AI and data projects.
Core Technical Skills:
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Natural Language Understanding (NLU), Conversational AI (Virtual Agents), and Narrative Science.
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Speech-to-Text, Text-to-Speech, and related AI-driven language solutions.
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Computer Vision, including face recognition and handwriting recognition.
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Experience with Snowflake, Apache Spark, Microsoft Azure Machine Learning, Mathematical Programming, and Sentiment Analysis.
Why Join Accenture?
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Innovative Work: Solve complex business challenges using cutting-edge AI, machine learning, and data analytics technologies.
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Career Growth: Access world-class training, certifications, and mentorship to accelerate your career.
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Flexible Work Arrangements: Options that acknowledge employees' roles beyond the workplace.
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Global Network: Work alongside top industry experts and contribute to projects for leading global and local clients.
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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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement for New Zealand:
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.
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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