At a Glance
- Tasks: Lead AI strategy for credit cards, turning ideas into impactful solutions.
- Company: Join PVH, home to iconic brands like Tommy Hilfiger and Calvin Klein.
- Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Shape the future of AI in a leading fashion company and drive real change.
- Qualifications: Experience in AI strategy and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
PVH (Tommy Hilfiger/Calvin Klein) is seeking an AI Strategy Manager for Credit Cards to shape AI use across the business and translate ideas into practical solutions that boost customer outcomes and drive growth. Based in the UK with a hybrid pattern (Chester or Manchester), the role combines hands-on AI work with strategic leadership, collaborating with engineering, data science, product and platform teams to deliver measurable outcomes and scale successful initiatives.
Hybrid AI Strategy Lead for Credit Cards in Manchester employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Strategy Lead for Credit Cards in Manchester
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We think you need these skills to ace Hybrid AI Strategy Lead for Credit Cards in Manchester
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.
