At a Glance
- Tasks: Lead complex AI deployments and manage a distributed team for successful delivery.
- Company: Lua, a forward-thinking tech company focused on AI solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting role with potential for significant impact across multiple markets.
- Why this job: Join a dynamic team and shape the future of AI implementation globally.
- Qualifications: Proven experience in technical delivery and strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Lua is seeking an experienced Technical Delivery Leader to own end-to-end delivery for complex multi-market deployments.
You will work with Solutions Architects, engineers, and partners to translate designs into live systems across regions, chair executive governance, and drive a scalable delivery playbook.
You will manage a distributed team, oversee delivery KPIs, navigate data residency and regulatory requirements, and ensure the delivery aligns with sales and product feedback.
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Global Head of AI Implementation & Delivery employer: Lua Global Inc
At Lua, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As the Global Head of AI Implementation & Delivery, you will have access to unparalleled growth opportunities, working alongside talented professionals in a dynamic environment that values your contributions. Our commitment to employee development, coupled with our focus on impactful projects across diverse markets, makes Lua a truly rewarding place to advance your career.
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We think this is how you could land Global Head of AI Implementation & Delivery
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We think you need these skills to ace Global Head of AI Implementation & Delivery
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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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.
