Engage & Accelerate: Engage with technical leadership, data science teams, and executive stakeholders to build strong relationships, onboard new AI customers, and progress large strategic opportunities.
Support business units in identifying and managing critical datasets, data ownership, data quality rules, metadata, data lineage, and data catalogue requirements.
Execution of Strategic Mandates: Translate directions, strategic priorities and Board mandates from the Board of Directors and executive leadership into actionable operational plans and multi-year AI roadmaps.
Govern the identity lifecycle: Establish controls for privileged accounts, service accounts, application identities, API credentials, workload identities and AI agents, including discovery, onboarding, recertification, credential rotation and decommissioning.
Lead major technology, systems and digital transformation programmes from strategy through hands-on implementation and adoption, while strengthening internal technology capabilities and reducing reliance on outsourced delivery.
Strong Computer Science Fundamentals: Solid understanding of data structures, algorithms, operating systems, and networks. Proficient in at least one mainstream programming language (Python/Java/C++/Go).
experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets
Monitoring and Performance: Monitor live agents through platform logs, report breaches to the assurance lead and relevant business owners, and track platform availability, costs, reuse and human supervision requirements.