Are you ready to lead the delivery of innovative AI solutions at our organization? We are seeking an experienced AI Delivery Lead to drive complex AI projects from conception to completion. Join our team and collaborate with cross-functional experts to deliver AI solutions that align with business objectives and market needs.

As a Technical AI Delivery Manager within our Commercial & Investment Bank, you will lead the delivery of innovative AI solutions. Your responsibilities will include promoting complex AI projects from conception to completion, collaborating with cross-functional teams to ensure alignment with business objectives and market needs. You will also be involved in strategic planning, execution, and deployment of AI projects, and provide mentorship and coaching to the AI team.

 

Job Responsibilities:

Lead the end-to-end delivery of AI projects, from strategic planning to execution and deployment.Define and implement AI delivery strategies, ensuring alignment with business objectives and market needs.Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver AI solutions that meet customer and business requirements.Act as Scrum Master utilizing scrum, Kanban & SAFe to deliver technical releases with Data Scientists, ML Engineers, Cloud Engineers & DXD.Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans.Develop and maintain an AI delivery roadmap to guide the organization's AI initiatives.Develop and execute comprehensive project plans, incorporating technical requirements, resource estimates, and timelines.Act as a mentor and agile coach for the AI team, fostering a culture of innovation, collaboration, and excellence.Communicate project progress, risks, and outcomes to senior executives and stakeholders.

Required Qualifications, Capabilities, and Skills:

Significant experience in AI project and program management, with a proven track record of delivering complex AI solutions at scale.Experience running agile methodologies within AI teams, utilizing backlog refinement, sprint planning, stand-ups, retrospectives, and sprint reviews.Experience in stakeholder management, with the ability to establish productive working relationships and influence decision-making.Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation, and feedback capture.

Preferred Qualifications, Capabilities, and Skills:

Knowledge of Cloud (AWS) computing and architecture, data management technologies, and ML platform tools.Knowledge of AI technologies, methodologies, and industry trends.