AI Asset Catalog Lead – Reuse & Governance in London

AI Asset Catalog Lead – Reuse & Governance in London

London Full-Time 70000 - 85000 Β£ / year (est.) No working from home possible
SimCorp

At a Glance

  • Tasks: Lead the development of a central AI asset catalog and ensure compliance across the enterprise.
  • Company: Join SimCorp, a leader in innovative AI solutions and governance.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on cutting-edge technology and career advancement.
  • Why this job: Be at the forefront of AI innovation and make a significant impact on the industry.
  • Qualifications: Experience in AI enablement, Python, Azure, and agile collaboration is essential.

The predicted salary is between 70000 - 85000 Β£ per year.

Sim Corp is seeking an experienced AI Enablement professional to lead the development and governance of a centralized catalog of reusable AI components.

You will collaborate with AI engineers to productize assets, set standards, and ensure security and compliance across the enterprise.

The role focuses on scale, reuse, and cutting-edge AI patterns, with a strong emphasis on Python, Azure, APIs, and agile collaboration with business functions.

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AI Asset Catalog Lead – Reuse & Governance in London employer: SimCorp

At SimCorp, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters professional growth and collaboration. As part of the Deutsche BΓΆrse Group, our UK-Nordics team benefits from flexible working hours and hybrid arrangements, alongside tailored development opportunities that empower employees to thrive in their careers. Join us to lead impactful consulting engagements while contributing to a global environment that values diversity and innovation.

SimCorp

Contact Details:

SimCorp Recruitment Team

We think you need these skills to ace AI Asset Catalog Lead – Reuse & Governance in London

AI Enablement
Governance
Centralized Catalog Development
Reusable AI Components
Collaboration with AI Engineers
Productization of Assets
Standards Setting