Enterprise Data and AI Architect, Vice President
$172k – $191
ApplyEnterprise Data and AI Architect, Vice President
Posted 17 days ago
SENIORITY
Manager
SALARY
$172k – $191
About the role
- 1. Data Platform & Integration ArchitectureDesign scalable enterprise data platforms (lakehouse, data warehouse, streaming, ingestion layers)
- Define modern integration patterns: ETL / ELTChange Data Capture (CDC)APIs and event-driven architectures
- Drive platform modernization, interoperability, and data movement strategies2. AI & Knowledge Architecture
- Architect AI-ready data foundations for analytics, machine learning, and generative AIDefine and implement: Semantic models
- OntologiesMetadata standards
- Knowledge graph frameworks
- Enable advanced AI use cases including: Retrieval-Augmented Generation (RAG)
- Semantic search
- Explainable AI patterns3. Information & Data Product ArchitectureDesign business-aligned data products and reusable data assets
- Define architectures for: Metadata management
- Data lineage
- Data quality and governance
- Enable trusted, discoverable, and reusable data ecosystems4. Enterprise Architecture & Governance
- Establish architecture standards, patterns, and reference models
- Participate in Architecture Review Boards (ARB) and governance processes
- Ensure alignment with enterprise strategy, risk, and compliance requirements5. Architecture Enablement & Collaboration
- Partner across engineering, cloud, AI, and governance teams
- Develop reusable: Architecture templates
- Standards and guidelines
- Onboarding frameworks
- Provide hands-on guidance to delivery teams across platforms
- 8+ years of experience in: Data Architecture
- Platform ArchitectureAI Architecture or related fields
- Proven experience designing enterprise-scale data platforms and integration solutions
- Strong expertise in: Data storage, processing, and integration architectures
- Cloud platforms (AWS, Azure, or GCP)
- Modern data paradigms (lakehouse, warehouses, APIs, event-driven systems)
- Demonstrated ability to translate business requirements into scalable architectures
- Strong communication and stakeholder engagement skills
- Experience working in cross-functional enterprise environments
- Areas of Specialization (One or More)A. Data Platform & IntegrationETL / ELT, CDC, streaming, APIsScalability, performance optimization, resiliencyB. AI & Data ArchitectureAI / ML, Generative AI, RAGAI-ready data foundations and MLOps alignmentC.Knowledge & Semantic Architecture
- Ontologies, knowledge graphs, semantic modeling
- Metadata, lineage, and AI trust frameworksD. Information & Data Product ArchitectureData products and domain-aligned data models
- Metadata strategy and data governanceE.Enterprise Data Architecture
- Architecture standards, operating models, and governanceARB participation and capability frameworks
- Preferred / Nice to Have
- Experience with modern platforms such as: Snowflake
- DatabricksExposure to: Data mesh or federated data models
- Experience in regulated environments (e.g., financial services)
- Familiarity with: Metadata platforms
- Governance tooling
- Knowledge of: Infrastructure-as-CodeCI/CDMLOps practices
- Strong systems thinking and architectural design skills
- Ability to simplify complex concepts for diverse audiences
- Excellent collaboration and cross-functional leadership
- Ability to influence without authority
- Structured, analytical problem-solving mindset
- This is a unique opportunity to: Shape enterprise-wide data and AI strategy
- Influence architecture across multiple platforms and domains
- Build foundational capabilities that enable innovation
- Work at the intersection of data, AI, and modern architecture practices
Before you apply
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A number in mind
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Your notice period
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