Data & AI Manager
Auckland, New Zealand • Penuh Waktu
Jadilah yang pertama mendaftar
- Pengalaman
- 7+ tahun
- Gaji
- —
- Lowongan
- 1
- Diposting
- 2 jam yang lalu
- Mode kerja
- Di kantor
- Pendidikan
- Degree in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Economics, or related field
- Melanjutkan
- Wajib mendaftar
Tempat Anda akan bekerja
Deskripsi pekerjaan
About the Role
Accenture New Zealand is searching for skilled Data & AI Managers to lead AI and data strategy initiatives for diverse clients from our Auckland office. This role suits professionals eager to helm teams or provide strategic data insights, contributing to transformative projects in the AI and analytics domain.
Key Responsibilities
- Lead and develop multidisciplinary teams combining qualitative and quantitative talents to address market demands using insight-driven methods.
- Maintain and nurture client relationships to guarantee the effective delivery of AI and data-focused projects.
- Champion growth and innovative practices within the AI division.
- Deliver data-centric business strategies to senior executives and shape key strategic decisions.
- Offer expert advice to business leaders with persuasive, evidence-based strategies that surpass expectations.
- Oversee multiple projects across various sectors, crafting solutions anchored in empirical evidence.
- Effectively communicate analytical insights through detailed reports and presentations targeting internal and external stakeholders.
- Tackle significant challenges related to data governance, machine learning models, and natural language processing for both clients and internal teams.
- Express business value via compelling scientific storytelling coupled with sophisticated data visualization techniques.
- Develop AI-based language technologies that allow systems to comprehend and interact in natural human speech.
- Design and apply deep learning and neural network algorithms to convert raw data into practical insights.
- Manage entire project lifecycles, from concept and prototype phases through to full solution rollouts.
Qualifications and Experience
- Proven passion and expertise in leveraging data insights to elevate clients' analytical capabilities.
- Educational background in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, or comparable disciplines.
- Over seven years of experience implementing machine learning for digital transformation projects focused on analytics.
- Minimum of three years leading teams specializing in AI and data initiatives.
Technical Expertise
- Competency in Natural Language Understanding (NLU), Conversational AI such as Virtual Agents, and Narrative Science.
- Skills in Speech-to-Text, Text-to-Speech technologies, and AI-driven linguistic solutions.
- Experience in Computer Vision tasks including facial and handwriting recognition.
- Working knowledge of Snowflake, Apache Spark, Microsoft Azure Machine Learning, mathematical optimization, and sentiment analysis methodologies.
Why Join Accenture New Zealand
- Engage with state-of-the-art AI, machine learning, and data analytics tools to solve complex business issues.
- Enjoy robust career progression opportunities through top-tier training, certifications, and mentorship programs.
- Benefit from flexible working arrangements respecting personal and professional balance.
- Collaborate with a global network of industry specialists and contribute to projects for leading multinational and local clients.
- Access competitive remuneration packages along with wellness and professional development support.
About Accenture New Zealand
Accenture NZ combines global expertise with local partnerships to drive technological innovation and transformation across industries. Dedicated to supporting New Zealand’s growth and societal wellbeing, the firm fosters a positive change journey working alongside local communities.
Keterampilan
Visi Komputer
Pembelajaran Mendalam
Jaringan Saraf Tiruan
Apache Spark
Kepingan salju
Conversational AI
Sentiment Analysis
Text to Speech
Face Recognition
Microsoft Azure Machine Learning
speech-to-text
Natural Language Understanding (NLU)
Narrative Science
Handwriting Recognition
Mathematical Programming