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.