Details:
- Salary: £500 - 600 - Day
- Job Type: Contract
- Job Status: Full-Time
- Salary Per: Day
- Location: City of London London
- Date: 6 days ago
Description:
AI Project Manager
AI Project Manager - AI Rollout (Claude)
Role Overview
We are seeking an experienced AI Project Manager to lead the end-to-end rollout of Claude AI solutions across a major client organisation. This role will act as the central delivery lead across strategy, implementation, governance, stakeholder engagement, vendor management, and adoption.
The successful candidate will oversee the full lifecycle of the AI deployment, from discovery and use-case definition through implementation, training, rollout, optimisation, and operational governance. The role requires strong programme management capabilities combined with excellent communication and writing skills, as the individual will be responsible for producing executive-level documentation, rollout communications, policies, training materials, and client-facing deliverables.
This is a highly cross-functional role working across client stakeholders, internal delivery teams, AI vendors, security, legal, operations, and change management functions.
Key Responsibilities
AI Rollout & Programme Delivery
Lead the end-to-end deployment of Claude AI across the client organisation
Define and manage project scope, timelines, deliverables, budgets, and risks
Coordinate cross-functional teams including technical, operational, legal, compliance, and business stakeholders
Develop phased rollout strategies and adoption plans
Manage pilot programmes, feedback loops, and scaling initiatives
Track delivery progress and provide regular reporting to leadership teamsVendor & Partner Management
Act as the primary point of contact for AI vendors and implementation partners
Manage vendor relationships, contracts, deliverables, SLAs, and escalation processes
Coordinate with platform providers and third-party integrators to ensure successful deployment and support
Evaluate vendor performance and identify optimisation opportunitiesStakeholder Engagement & Communication
Build strong relationships with executive sponsors and business stakeholders
Facilitate workshops, steering committees, and governance meetings
Translate technical AI concepts into clear business language
Drive alignment between business goals and AI implementation strategiesWriting & Documentation
Produce high-quality project documentation, business cases, rollout plans, governance frameworks, and executive presentations
Develop AI usage policies, operating procedures, and risk management documentation
Create user guides, training content, FAQs, communications, and adoption materials
Draft client-ready reports and implementation updatesGovernance, Risk & Compliance
Ensure AI deployment aligns with organisational governance, security, and compliance requirements
Support responsible AI practices, data privacy standards, and risk mitigation activities
Coordinate approvals across legal, procurement, cybersecurity, and compliance functionsAdoption & Change Management
Drive user adoption initiatives and change management activities
Support training programmes and enablement sessions for end users and leadership teams
Gather user feedback and identify continuous improvement opportunities
Measure adoption, engagement, and operational impactRequired Skills & Experience
Proven experience managing enterprise technology or AI transformation programmes
Experience delivering end-to-end software or SaaS implementations
Strong vendor and stakeholder management experience
Excellent written communication and documentation skills
Ability to manage multiple workstreams in complex client environments
Strong organisational and problem-solving skills
Experience working with executive stakeholders and cross-functional teams
Familiarity with AI tools, large language models, or generative AI platforms such as Claude, ChatGPT, or Microsoft CopilotPreferred Experience
Experience with enterprise AI governance or responsible AI frameworks
Background in consulting, digital transformation, or technology delivery
Experience within regulated industries or large enterprise environments
Understanding of change management and user adoption strategies
Knowledge of Agile, Scrum, or hybrid project delivery methodologiesSuccess Measures
Successful rollout and adoption of Claude AI across the client organisation
Delivery against project timelines, budgets, and quality expectations
Positive stakeholder engagement and user adoption metrics
Effective governance and operational management of AI capabilities
High-quality written deliverables and executive communications