Enterprise AI Deployment Lead

Stott and May

Oslo

On-site

NOK 750,000 - 1,200,000

Full time

10 days ago
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Job summary

Stott and May is hiring a Deployment Strategist for Enterprise AI Delivery in a customer-facing, delivery-focused role. You will lead AI implementations from discovery to production, aligning stakeholders, product teams, and engineers to deliver on time within enterprise environments.

A hands-on, proactive approach and strong communication are essential. The role focuses on defining requirements, success metrics, deployment plans, and driving adoption and continuous improvement of AI solutions

Qualifications

  • 2-5 years experience in consulting, programme delivery, project management or high-growth startups.
  • Strong stakeholder management and communication skills.
  • Understanding of APIs, integrations, and enterprise technology environments.
  • Ability to manage multiple projects and priorities simultaneously.
  • Proactive, hands-on approach with an interest in AI and emerging technologies.

Responsibilities

  • Lead end-to-end delivery of AI implementations from discovery to production.
  • Define requirements, success metrics, and deployment plans.
  • Coordinate customers, product teams, and engineers to deliver on time.
  • Manage risks, timelines, and stakeholder expectations.
  • Drive adoption, optimisation, and continuous improvement of AI solutions.
  • Identify opportunities to expand AI use cases and business value.

Skills

Stakeholder management
Project coordination
Delivery excellence
Multi-project handling
Proactive delivery

Tools

APIs
Integrations
Enterprise tech

Job description

Stott and May is hiring a Deployment Strategist for Enterprise AI Delivery in a customer-facing, delivery-focused role. You will lead AI implementations from discovery to production, aligning stakeholders, product teams, and engineers to deliver on time within enterprise environments.

A hands-on, proactive approach and strong communication are essential. The role focuses on defining requirements, success metrics, deployment plans, and driving adoption and continuous improvement of AI solutions

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