AI Project Manager

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 teams

Vendor & 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 opportunities

Stakeholder 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 strategies

Writing & 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 updates

Governance, 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 functions

Adoption & 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 impact

Required 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 Copilot

Preferred 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 methodologies

Success 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