Engagement Manager, AI Transformation - Data and AI engineering company
Role Overview:
This is a senior client and delivery leadership role responsible for the end-to-end success and profitability of strategic client accounts. The Engagement Manager will act as the single point of leadership across client relationships, commercial management, delivery governance, and account growth.
The role sits at the intersection of strategy, delivery, and growth, requiring someone who can confidently engage senior client stakeholders while ensuring complex technology programmes are delivered successfully.
Build and manage executive-level client relationships and act as a trusted partner to senior stakeholders.
Translate client business objectives into well-governed AI, data, and cloud transformation programmes.
Own the end-to-end success and profitability of strategic client accounts.
Manage account-level P&L, including revenue, gross margin, forecasting, invoicing, collections, and profitability.
Govern multi-squad delivery programmes from discovery through production and hypercare.
Lead delivery governance through SteerCos, RAIDs, quality gates, change control, and structured SDLC practices.
Manage client escalations and ensure alignment across client stakeholders, delivery teams, and technology leadership.
Identify opportunities to expand client relationships, shape value cases, and support proposals and Statements of Work.
Manage commercial models including T&M and squad-based engagements, change orders, MSA/SOW mechanics, and client procurement discussions.
Work with AI, Data, and Cloud teams to support the delivery of GenAI, Agentic AI, and Data Platform programmes on AWS.
Coach Project Managers, Engagement Managers, and Technical Leads while building accountable, high-performing delivery teams.
Ensure programmes meet regulatory, data privacy, model governance, risk, security, and quality expectations.