Enterprise Architect

Enterprise Architect page is loaded## Enterprise Architect locations:
Remote - Anywhere - USAtime type:
Full time posted on:
Posted Todayjob requisition :
R0014148
** Enterprise Architect
** We are seeking an experienced Enterprise Architect for Data & AI to help shape the future of our SaaS platform. Data and AI are foundational to our customer experience, operational excellence, and long-term differentiation. This role ensures we scale intelligently, innovate responsibly, and treat data as a strategic product—not merely a byproduct of systems.

The Enterprise Architect – Data & AI is a senior, strategic role responsible for defining and governing the enterprise-wide data and AI architecture that enables scalable SaaS growth, trusted analytics, and responsible AI adoption.

This architect serves as a bridge between business strategy, data platforms, analytics, and AI/ML capabilities, partnering closely with product, engineering, security, compliance, and business leaders to translate vision into durable competitive advantage.
** What you'll do
**** Enterprise Data & AI Strategy
*** Define and maintain the enterprise data and AI architecture vision, principles, and roadmap aligned with business strategy and SaaS growth objectives
* Establish data-as-a-product practices, including ownership models, quality standards, SLAs, discoverability, and lifecycle management
* Guide strategic platform decisions across data ingestion, storage, processing, analytics, ML, and AI enablement
** AI Enablement & Responsible Governance
*** Partner with product and engineering teams to embed AI/ML capabilities into SaaS products and internal workflows
* Define AI architecture patterns, such as feature stores, model lifecycle management, vector databases, and LLM integration
* Work with Chief Data & AI Officer to establish responsible AI guardrails, including governance, security, privacy, explainability, and regulatory compliance
* Collaborate with Chief Data & AI Officer, Security and Legal teams to align AI and data architectures with evolving regulatory requirements
** Architecture Governance & Standards
*** Create and enforce enterprise standards and reference architectures for data platforms, analytics, and AI services
* Review and guide solution architectures to ensure scalability, interoperability, cost efficiency, and architectural consistency
* Balance near-term innovation with long-term architectural sustainability
** Business & Technology Alignment
*** Translate business objectives into data and AI capabilities that drive measurable outcomes such as growth, efficiency, and customer experience
* Advise executives on data and AI investment decisions, trade-offs, and risk management
* Act as a trusted thought partner to senior leaders across product, engineering, and the business
** Platform & Cloud Architecture
*** Guide cloud-native data and AI architectures across modern SaaS stacks, including event-driven, API-first, and multi-tenant environments
* Influence the evolution of data lakes, warehouses, streaming platforms, ML platforms, and AI services
* Optimize architectures for scalability, reliability, cost management, and vendor portability
** Change Enablement & Thought Leadership
*** Evangelize data and AI best practices across the organization
* Mentor architects and senior engineers on data and AI architecture patterns
** What you'll bring
*** 15+ years of experience with 10+ years of experience in enterprise, solution, or platform architecture, with deep focus on data and analytics
* Proven experience designing enterprise-scale data platforms in cloud-based SaaS environments
* Strong expertise in AI-enabled system architecture, including ML and/or Generative AI solution patterns
* Solid understanding of AI/ML architectures, including data pipelines, model lifecycle management, and integration patterns
* Hands-on familiarity with modern data technologies such as cloud data warehouses, data lakes, and streaming platforms
* Experience working across product, engineering, security, and business stakeholders
* Strong executive communication and storytelling skills
* Pragmatic familiarity with enterprise architecture frameworks (e.g., TOGAF)…