Clear Filters
Date Posted
Salary
Work Type
Work Style
Role Level
Career Field
Job Schedule
Benefits/Perks
Culture
Industry
![Accenture New Zealand | Databricks Data Engineering Manager]()
![Accenture New Zealand | Databricks Data Engineering Manager]()
![Accenture New Zealand | Databricks Data Engineering Manager]()
![Accenture New Zealand | Databricks Data Engineering Manager]()
![Accenture New Zealand | Databricks Data Engineering Manager]()
Recently Posted
Recently PostedAdvertisement
Recently Posted
![RWA People | Marketing Data Analyst]()
![RWA People | Marketing Data Analyst]()
🚀Instant Apply
🚀Instant Apply
![RWA People | Marketing Data Analyst]()
![RWA People | Marketing Data Analyst]()
Be First to Apply
![Canonical | Engineering Manager - Data Platform]()
CanonicalRemote • Full Time
UdacityRemote • Contract
Be First to ApplyCanonicalRemote • Full Time
Recently Posted
Be First to Apply
Data science manager Jobs
Data science manager roles sit where advanced analytics, research, and strategy come together. You will find them across universities, local and regional councils, tourism operators, crypto and fintech firms, security platforms, consultancies, and data driven businesses. These roles focus on turning complex data into decisions, guiding AI initiatives, and supporting large research or commercial programmes that need clear evidence and robust reporting.
Day-to-day work
A typical week blends hands on analysis with leadership and coordination. You might review dashboards and reports, work in SQL or BI tools to shape datasets, and guide how data is collected, validated, and stored. Many roles involve designing experiments or forecasting models, checking the performance of AI systems, and translating technical findings into practical recommendations for senior leaders. You will also spend time in meetings with product, engineering, finance, research, or operations teams, agreeing priorities, tracking KPIs, managing risks, and documenting methods, results, and compliance requirements.
Career progression
Careers as data science manager often progress into broader technical leadership or strategic roles. Experience in these positions can lead into solution or technical architect posts, where you design larger AI and data platforms across cloud environments. Some move into operations leadership in fast moving sectors like crypto, or into commercialisation and IP roles that help research organisations bring new technology and data products to market. Others step into senior advisory or programme management positions, coordinating multi year research projects, funding streams, and cross functional teams.
Skills employers look for
Employers look for strong analytical skills, confidence working with large datasets, and experience with tools such as SQL, Microsoft Power BI, and cloud platforms. Many roles ask for familiarity with AI, machine learning, or advanced statistical methods, along with a solid understanding of governance, privacy, and security. Just as important are communication and stakeholder skills, since you will often explain complex ideas to non technical teams and write clear technical documentation. Attention to detail, problem solving, and the ability to manage projects, budgets, and competing priorities round out what most employers expect from a data science manager.
Find your next role
If you enjoy leading projects where data, AI, and research shape real world decisions, these roles offer plenty of scope. Explore current listings on ZEIL to find a data science manager opportunity that matches your experience, sector interests, and ambitions across Aotearoa.