AI Technical Delivery Manager

Role purpose

Lead end-to-end delivery of AI/ML and Generative AI solutions by coordinating business stakeholders, data teams, AI engineers, developers, vendors, and operations teams.

Key responsibilities

• Own the end-to-end delivery of AI projects from requirements through production.
• Translate business problems into clear AI use cases, requirements, and delivery plans.
• Manage project scope, timelines, budget, resources, risks, dependencies, and quality.
• Coordinate data scientists, ML engineers, software engineers, data engineers, architects, and business teams.
• Manage delivery of GenAI, LLM, machine-learning, automation, and AI-agent solutions.
• Establish project milestones, KPIs, acceptance criteria, and success metrics.
• Ensure AI solutions are properly tested, validated, secured, and production-ready.
• Work with architecture, cybersecurity, legal, risk, and compliance teams on responsible AI and governance.
• Manage vendors and third-party AI/cloud technology providers where applicable.
• Oversee deployment, monitoring, model performance, incident management, and continuous improvement.
• Drive user adoption and change management after implementation.
• Provide regular status reports and communicate risks, issues, and decisions to senior management.
• Identify opportunities to scale successful AI solutions across the organization.

Typical qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
• Experience managing technology, data, AI/ML, or digital-transformation projects.
• Understanding of:Machine learning and AI lifecycleGenerative AI and LLMsCloud platformsData engineering and analyticsAPIs and software developmentMLOps/LLMOpsAI governance and security
• Strong project/program management skills.
• Excellent stakeholder and communication skills.
• Experience with Agile/Scrum, Jira, Confluence, or similar delivery tools is often useful.
• Certifications such as PMP, PRINCE2, Scrum/Agile, or cloud certifications can be advantageous.