Senior Enterprise AI & Data Architect
Enterprise AI & Data Strategy Execution Translate the enterprise Data & AI Strategy into an integrated AI/data architecture blueprint and multi-year roadmap, aligned with strategic priorities, foundational readiness, and priority use cases Define architecture guardrails based upon guiding principles Partner with the AI/Data Strategy function and AI/Data Center of Excellence to ensure solution and domain architectures deliver expected KPIs Work with Operating Company leaders to design AI/data-enabled business models (analytics-as-a-service, digital service ecosystems, intelligent customer platforms, embedded AI in products) and translate them into concrete platform, data, and integration architectures. Support agentic workflows that span end-to-end business processes Provide on-platform analytics and automation for common processes Embed secure-by-design principles into all AI/data architectures, including identity and access management, data segmentation, tenant isolation, and role-based access. Align architectures with CMMC, cybersecurity, and data protection requirements identified in OpCo strategic plans and enterprise risk frameworks. Collaborate with Security Architecture, GRC, and Legal/Privacy to ensure architectures support policy enforcement and defensible compliance. Work with Infrastructure, Cloud Engineering, and Finance to define FinOps-aligned architectural standards Architect for “fewer, bigger, better” strategic platforms and partners to reduce duplicated capabilities and IT run costs while increasing reuse Provide TCO/ROI viewpoints and architecture options that reduce the cost to deliver AI solutions Serve as a trusted advisor to Operating Company Product, Commercial, Operations, and RBS leaders on how AI/data platforms and architectures unlock their strategic priorities. Communicate complex architectural concepts in business language, linking design decisions to KPIs such as revenue growth, NDR, CSAT, margin, productivity, and time-to-market.
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Senior Enterprise AI & Data Architect
Enterprise AI & Data Strategy Execution Translate the enterprise Data & AI Strategy into an integrated AI/data architecture blueprint and multi-year roadmap, aligned with strategic priorities, foundational readiness, and priority use cases Define architecture guardrails based upon guiding principles Partner with the AI/Data Strategy function and AI/Data Center of Excellence to ensure solution and domain architectures deliver expected KPIs Work with Operating Company leaders to design AI/data-enabled business models (analytics-as-a-service, digital service ecosystems, intelligent customer platforms, embedded AI in products) and translate them into concrete platform, data, and integration architectures. Support agentic workflows that span end-to-end business processes Provide on-platform analytics and automation for common processes Embed secure-by-design principles into all AI/data architectures, including identity and access management, data segmentation, tenant isolation, and role-based access. Align architectures with CMMC, cybersecurity, and data protection requirements identified in OpCo strategic plans and enterprise risk frameworks. Collaborate with Security Architecture, GRC, and Legal/Privacy to ensure architectures support policy enforcement and defensible compliance. Work with Infrastructure, Cloud Engineering, and Finance to define FinOps-aligned architectural standards Architect for “fewer, bigger, better” strategic platforms and partners to reduce duplicated capabilities and IT run costs while increasing reuse Provide TCO/ROI viewpoints and architecture options that reduce the cost to deliver AI solutions Serve as a trusted advisor to Operating Company Product, Commercial, Operations, and RBS leaders on how AI/data platforms and architectures unlock their strategic priorities. Communicate complex architectural concepts in business language, linking design decisions to KPIs such as revenue growth, NDR, CSAT, margin, productivity, and time-to-market.