At a Glance
- Tasks: Lead the global AI strategy and turn innovative ideas into scalable solutions.
- Company: Join Macquarie, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving impactful change across a global platform.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: Deep technical expertise in AI/ML and strong leadership skills required.
The predicted salary is between 72000 - 88000 £ per year.
Macquarie is seeking a senior, deeply technical leader to define and execute a global Applied AI strategy.
You will sit at the intersection of business strategy, engineering, data architecture, AI/ML and enterprise risk management, turning AI from experiments into scalable capability.
You will partner with business leaders and engineering to deliver high-value AI use cases with guardrails, observability, and risk controls across a global platform.
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Global AI Strategy & Decision Systems Leader employer: eFinancialCareers
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Global AI Strategy & Decision Systems Leader
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We think you need these skills to ace Global AI Strategy & Decision Systems Leader
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at eFinancialCareers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at eFinancialCareers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
