Enterprise Architecture Senior Principal - Data, APIs, and Integration Architecture

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* Position Overview:

*
* The  
** Enterprise Architecture - Data Architecture Senior Principal
** is a  
** Band 5 Senior Contributor
** responsible for defining and advancing the  
** enterprise data and analytics architecture strategy, target states, and multi-year roadmaps
** across the organization. This role serves as a  
** recognized architecture authority** , setting the  
** northstar vision
** for modern data platforms, analytics, and AI-enabled capabilities-translating business priorities into  
** pragmatic, scalable, and future-ready architectures** . Operating with high enterprise influence and no direct reports, this role requires strong executive presence, the ability to influence without authority, and a relentless focus on enabling  
** data-driven decision making, hyper-personalization, and AI-first innovation** .  
** Key Outcomes*
* +  
** Enterprise Data & Analytics Vision:
** Define and publish a  
** business-aligned data and analytics architecture strategy
** with a clear  
** 3-5 year roadmap
** covering data platforms, governance, analytics, AI/ML, and integration layers.

+  
** Scalable & Reusable Data Foundations:
** Establish  
** modern, modular data architectures
** that reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI.

+  
** Decision Velocity through Architecture Governance:
** Implement  
** architecture principles, guardrails, and decision frameworks
** to improve speed, consistency, and quality of analytics and data platform decisions.

+  
** AI-Ready & Insights-Driven Enterprise:
** Enable  
** analytics-ready data, semantic layers, and AI capabilities
** that accelerate insights, automation, and intelligent decisioning.

+  
** Cross-Domain Alignment:
** Act as a unifying architecture leader across  
** Digital, Data, AI, Security, and Business domains
** to ensure alignment on key investment and design decisions.

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* Key Responsibilities:

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* ** Strategy & Architecture Leadership*
* + Define and evolve  
** enterprise data & analytics architecture strategy, capability maps, and target-state designs** .

+ Develop and maintain  
** multi-year roadmaps
** aligned to business outcomes, cost optimization, and innovation priorities.

+ Establish a  
** data-as-a-product and platform-based operating model** .

** Data Platform & Analytics Architecture*
* + Architect  
** modern data platforms**  (cloud-native databases, data lakehouse, streaming, real-time pipelines, semantic/ontology layers).

+ Define patterns for  
** data ingestion, transformation, storage, access, and consumption** .

+ Enable  
** self-service analytics** , BI, and advanced analytics capabilities across the enterprise.

+ Lead architecture for  
** AI/ML platforms, feature stores, and model lifecycle integration** .

** Integration & API Architecture*
* + Define enterprise integration strategy spanning APIs, messaging, event streaming, data sharing, and intelligent orchestration.

+ Establish architecture standards for API-led connectivity, event-driven architecture, service-mesh, and real-time integrations

+ Define reusable integration patterns across digital channels, core platforms, data and AI platforms

+ Lead architecture for enterprise interoperability including healthcare interoperability, FHIR ecosystem, and external data exchanges

** Data Governance, Privacy & Compliance*
* + Embed  
** data governance, quality, lineage, metadata, and stewardship frameworks
** into architecture design.

+ Ensure architectures support  
** regulatory, privacy, and security requirements by design** .

+ Establish patterns for  
** trusted, secure, and compliant data usage** .

** Innovation & Emerging Capabilities*
* + Drive innovation in  
** AI/ML, GenAI, agentic analytics, and intelligent automation** .

+ Evaluate and guide adoption of…