The role involves leading cross-functional teams to deliver data analytics and artificial intelligence projects. Responsibilities include defining project roadmaps, managing the integration of machine learning models, and overseeing the development of ontology-based data structures. The position requires managing technical risks, ensuring adherence to data governance standards, and providing regular status updates to executive leadership. Additionally, the role focuses on refining delivery processes and championing automation best practices. The individual will coordinate efforts across various engineering disciplines to ensure end-to-end solutions are delivered on schedule.

Candidates must possess experience in project management for data-centric, software, or AI projects, along with a background in data, software, or AI engineering. Proficiency in tools such as JIRA and Confluence is required, as is the ability to manage multiple development teams and provide clear reporting to senior leadership. A bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field is necessary, though equivalent experience is accepted. Strong skills in schedule management and stakeholder engagement are also required.