- Project and Programme Management
- Singapore - Technology Centre
Dyson is growing. Fast. More products. New categories. More visual communications. We are a creative technology company with a global and iconic identity. Our mission is simple: We solve problems others ignore with exciting modern technologies which defy convention.
Join us at our global headquarters in Singapore as the Senior Manager for Data Analytics, where you'll lead a talented team of data & analytics professionals. Your role goes beyond just managing – it's about shaping strategies that use data to drive business growth, streamline our operations, and inform crucial decision-making.
Your leadership style will be hands-on and confident, backed by a solid D&A background. You'll guide the evolution of our cutting-edge AI models, making sure they're seamlessly integrated and pushing the boundaries of what's possible to drive our transition from descriptive analysis to AI-supported prescriptive data analytics.
Your engineering expertise will also shine as you oversee the development and operation of our upcoming D&A products. You'll be at the forefront, ensuring these products are primed to deliver results.
Our global reputation is priceless, and it always hangs on what we do next. Dyson is a unique technology enterprise. We pioneer. Our biggest category today didn’t even exist a few years ago. Our next biggest category? That could be where you come in.
About the role
Manage a group of data analytics professionals responsible for all aspects of advanced analytics, data engineering and data visualisations.
Develop and implement strategies to ensure that data is being used to drive outcomes and guide business decisions.
Engineer and operate a modern data analytics platform that is consumable by all supply chain functions using self-service so they can focus on tasks that have value.
Partner with internal and external stakeholders to identify opportunities to leverage data to drive business results.
Collaborate with Demand and Supply planning to identify and monitor key business KPI metrics and perform root cause analysis.
Oversee the development and implementation of data-driven and AI initiatives.
Monitor trends and developments in data management, advanced analytics, and reporting to ensure that the company is staying ahead of the curve.
Ensure that data quality standards are being met and data privacy and security protocols are being followed.
Work closely with business to understand the planning lifecycle, proactively identify opportunities to drive efficiency and accuracy and partner with planning teams to execute the proposed solutions.
Bachelor's in supply chain management, mathematics, statistics, quantitative and non-quantitative disciplines.
Master’s degree is desirable.
5-7 years’ work experience in global manufacturing businesses that has gone through successful analytics-oriented initiatives.
Cross-functional leadership skills.
Excellent communication and presentation skills.
Proven record of accomplishment in large scale digital transformation.
Good understanding of the demand forecasting, statistical forecasting and supply chain processes is a plus.
Good problem solving, ability to articulate solutions and presentation skills.
Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fueling and realizing ambition. #LI-AK
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.