The role involves leading complex, cross-functional initiatives within an AI and advanced digital platforms organization. The individual will manage end-to-end delivery of AI-driven and data-centric programs, including application development and machine learning model enablement. Responsibilities include owning delivery roadmaps across multiple interdependent workstreams and ensuring alignment between product, engineering, and data science teams. The position requires translating architectural concepts into executable plans and managing global, distributed teams. Additionally, the role focuses on establishing program governance, implementing release management best practices, and mitigating delivery risks.

Candidates must possess 8 to 12 years of experience leading technical projects or large-scale programs in application development, data engineering, or AI/ML. Required technical fluency includes enterprise and cloud application development, data platforms, and the AI/ML lifecycle. Applicants must demonstrate experience managing cross-functional engineering teams in matrixed environments and possess a deep understanding of Agile, SAFe, or hybrid delivery methodologies. The role requires the ability to communicate effectively with both technical staff and executive leadership. No specific degree or professional certification is mentioned as a requirement.