About the Role
The Enterprise Data & AI Integration Architect defines and evolves the organization's target-state data, integration, analytics, and AI architecture. This role connects business strategy to executable technology choices across data platforms, integration, information architecture, governance, analytics, machine learning, generative AI, and knowledge systems. The architect operates across all architecture domains: Business, Data, Application, and Technology (BDAT), with particular depth in the Data Domain. Strategic enough to shape investment and governance, yet hands-on enough to validate designs and guide delivery teams, this role acts as a trusted advisor and design authority.
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Role Mandate
- Create a coherent enterprise data and AI architecture blueprint, with a pragmatic multi-year roadmap from current state to target state, achieving and documenting the NorthStar Architecture vision.
- Modernize the data landscape for operational use cases, analytics, machine learning, generative AI, and agentic workflows.
- Reduce fragmentation, duplicated platforms, and tech debt in partnership with data governance.
- Embed security, privacy, resilience, and regulatory compliance into the architecture.
- Increase delivery speed through approved patterns, data products, and clear engineering standards.
- Translate complex architectural trade-offs into decisions actionable by teams.
- Support the development of EA principles and guidelines.
- Mentor or guide aspiring architects or professionals.
Key Responsibilities
Enterprise Strategy and Roadmaps
- Own the enterprise Data and AI architecture strategy, principles, reference architecture, and roadmap that align with business priorities.
- Identify impacts, dependencies, and constraints across all architecture domains and assess the current data estate.
- Advise senior leadership on platform strategy and vendor choices.
Architecture Practice and Solution Design
- Own the full BDAT architecture for key strategic solutions; design end-to-end architectures and implement technical designs.
- Ensure alignment with enterprise standards and identify architectural risks early.
Data Platform and Integration Architecture
- Design scalable architectures across cloud and hybrid environments.
- Define fit-for-purpose patterns for data ingestion, processing, and integration.
Information Architecture, Modeling, and Data Products
- Define enterprise information models and establish standards across data patterns.
- Guide master and reference data strategy for cross-domain interoperability.
AI, Machine Learning, and Knowledge Architecture
- Architect AI-ready data foundations and define patterns for data preparation and integration.
- Differentiate use cases for advanced techniques and partner with AI/ML engineering teams.
Governance, Security, Privacy, and Responsible AI
- Embed governance in design, ensuring compliance with applicable laws and regulations.
- Partner with data governance leaders to apply policies as automated controls.
Architecture Governance and Delivery Assurance
- Review and assure solution architectures for compliance with standards and principles.
- Document architectural decisions and maintain reference architectures and templates.
Leadership, Influence, and Capability Building
- Serve as a trusted advisor to executives and build alignment across teams.
- Promote design quality and support vendor selection and capability assessments.
Knowledge, Skill and Experience
Required Education and Certification
- Bachelor's degree in Information Technology, Computer Science, or related discipline; Master’s or PhD preferred.
- Enterprise Architecture certifications (e.g., TOGAF) desirable.
Required Professional Experience
- Typically 10+ years of experience in data architecture, enterprise architecture or AI/ML architecture.
- Experience in complex, multi-system data environments and cloud data platforms.
- Knowledge of security, privacy, resilience, and regulatory compliance requirements.
Required Language Skills
- Excellent command of spoken and written English.
Preferred Experience and Qualifications
- Experience in regulated or data-sensitive industries and with knowledge graphs and semantic technologies.
- Experience in executive advisory roles, including presenting to C-level audiences.
Employee Contract Type
Local - Fixed Term Employee (Fixed Term).
Travel
This position may require travel to various regions where the organization operates.
Applicants Accepted
Local Applicants Only.
