AI Product Manager – Internal Tools & Microsoft 365

AI Product Manager – Internal Tools & Microsoft 365

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of AI-driven internal tools to boost productivity and decision-making.
  • Company: Join the Money & Pensions Service, a forward-thinking organisation focused on innovation.
  • Benefits: Enjoy a hybrid working model and a range of fantastic employee benefits.
  • Other info: Be part of a dynamic team with opportunities for personal and professional growth.
  • Why this job: Make a real difference by enhancing workplace technology with responsible AI.
  • Qualifications: Experience with Microsoft products and a passion for driving tech adoption.

The predicted salary is between 60000 - 80000 Β£ per year.

The Money & Pensions Service is seeking an AI Product Manager focused on Microsoft 365 and automation. This role emphasizes the development and improvement of internal tools that enhance productivity and decision-making through responsible AI use.

Ideal candidates will have experience managing Microsoft products and driving adoption of workplace technology. The position offers a hybrid working model and significant employee benefits.

AI Product Manager – Internal Tools & Microsoft 365 employer: Money & Pensions Service

The Money & Pensions Service is an excellent employer, offering a dynamic work environment that prioritises innovation and employee well-being. With a hybrid working model, generous benefits, and a strong focus on professional development, employees are empowered to grow their skills while contributing to meaningful projects that enhance productivity through responsible AI use. Join us to be part of a forward-thinking team dedicated to making a positive impact in the financial services sector.

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Contact Details:

Money & Pensions Service Recruitment Team

We think you need these skills to ace AI Product Manager – Internal Tools & Microsoft 365

AI Product Management
Microsoft 365
Automation
Internal Tools Development
Productivity Enhancement
Decision-Making Improvement
Responsible AI Use