Seeking an experienced AI Delivery Manager adept at end-to-end software delivery, with a focus on AI/ML or Generative AI initiatives. This role requires a minimum of 3 years of direct experience in managing AI/ML programs. The ideal candidate will spearhead multi-disciplinary teams, implement robust delivery governance, ensure significant business value is achieved, and successfully execute AI programs across various industries. This opportunity is ideal for professionals who have a background in managing large-scale technology programs and have recently transitioned their expertise into AI/ML delivery.

Lead the successful delivery of AI/ML and Generative AI projects, ensuring timely and high-quality outcomes. This includes overseeing data preparation, model development, deployment, and MLOps pipelines, as well as driving end-to-end solutions that integrate AI components. You will collaborate with engineering and product teams to establish scalable AI architectures and workflows, manage multiple AI and software delivery workstreams concurrently, and maintain program roadmaps, risk registers, and status reports. Developing effective delivery models, governance structures, and quality frameworks is essential. Ensure strict adherence to timelines, scope, budget, and compliance standards.

Serve as the primary liaison for business and technical stakeholders, translating complex business needs into actionable AI delivery plans. You will present program updates, metrics, and risks to senior leadership and client executives, fostering strong relationships to ensure client satisfaction and alignment. Lead cross-functional teams including Data Scientists, ML Engineers, Data Engineers, Developers, QA, and Cloud Engineers, facilitating seamless collaboration. Mentor delivery teams on best practices, execution discipline, and continuous improvement. Uphold responsible AI principles, data security, and governance standards, implementing KPIs and SLAs to track performance and promote delivery reusability, automation, and process optimization.

A minimum of 8 years in technology or software delivery is required, including at least 3 years specifically focused on delivering AI/ML or Generative AI programs. Prior experience leading large-scale IT/software projects is essential. Strong proficiency in Agile, Scrum, and hybrid delivery methodologies is expected, alongside a solid understanding of the AI/ML lifecycle encompassing data engineering, model development, deployment, and monitoring. Familiarity with cloud ecosystems such as Azure, AWS, and GCP, along with MLOps tooling, is necessary. Excellent communication skills for stakeholder engagement, executive reporting, and expectation management are crucial. Proven ability to manage budgets, resource plans, and multi-vendor teams, coupled with extensive experience in risk management, governance, and escalation handling, are key qualifications for this role.