AI Transformation Product Manager (Consulting)

AI Transformation Product Manager (Consulting)

Full-Time 76500 - 93500 Β£ / year (est.) Home office (partial)
Story Terrace Inc.

At a Glance

  • Tasks: Lead AI transformation projects from start to finish, ensuring successful client engagement.
  • Company: QuantSpark, a forward-thinking analytics and AI consultancy based in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on collaboration and creativity.
  • Why this job: Be at the forefront of AI innovation and make a real difference for clients.
  • Qualifications: Experience in AI solutions and strong communication skills are essential.

The predicted salary is between 76500 - 93500 Β£ per year.

Quant Spark, a London-based analytics and AI consultancy, seeks an AI transformation lead to own client engagements end-to-end, from discovery through delivery of working AI-enabled solutions.

You will manage senior client relationships, prototype directly with AI tools, and collaborate with engineering to ensure adoption.

The role focuses on AI adoption across a portfolio of engagements, with autonomy to steer delivery using structured discovery, prototyping, and stakeholder communication.

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AI Transformation Product Manager (Consulting) employer: Story Terrace Inc.

At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Marketing Director in the UK, you will not only lead a talented team but also enjoy competitive benefits such as a substantial salary, private health insurance, and ample vacation time, all while contributing to meaningful growth and brand development in a forward-thinking environment.

Story Terrace Inc.

Contact Details:

Story Terrace Inc. Recruitment Team

We think you need these skills to ace AI Transformation Product Manager (Consulting)

Client Engagement Management
AI Tools Prototyping
Stakeholder Communication
AI Adoption Strategies
Project Delivery Management
Collaboration with Engineering Teams
Structured Discovery Processes