Data Architect - Hybrid

We are seeking a Data Architect with deep expertise in Data, Analytics to join the IT Enterprise Architecture organization. This role is accountable for proactively leading data, analytics technology transformation initiatives and enabling measurable business outcomes across the enterprise.

The Data Architect will play a critical role in transforming local, legacy, datadriven processes, and systems into centralized, scalable, and groupwide platforms, while ensuring alignment with enterprise architecture standards and business strategy.

The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural leadership in enterprise data platforms, integration components,and data strategies.

Responsibilities:
• Drive standardization of Data, Analytics, and AI technology standards, principles, and guidelines across multiple business entities.
• Define and maintain technical standards for enterprise data management, analytics platforms, and enablement capabilities.
• Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management
• Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives and implementations.
• Enable IT development and infrastructure teams to make informed technology decisions through frameworks, reference architectures, standards, and reusable patterns.
• Identify technical risks, architectural gaps, and vulnerabilities that could impact project delivery or lead to postrelease defects.
• Define migration and transformation plans to close gaps between current and target states, in alignment with Business Solutions and Business Technology Architects.
• Support governance, assurance, and compliance activities to ensure alignment with enterprise architecture standards and policies.
• Assess and articulate the organizational, skills, process, and financial impact of changes to the application portfolio, data platforms, and AI stack.
• Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions.
• Establish architectural patterns for AI model deployment, monitoring, versioning, and retraining in cloud environments.

Qualifications:
• 10+ years of experience in Enterprise Architecture or Technical Architecture.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or Business (or equivalent).
• Strong experience with cloud platforms and services, including:
• Data Warehousing
• Data Lakes / Lakehouse architectures
• ETL / ELT
• Interactive and operational reporting
• Statistical and regulatory reporting
• Master Data Management (MDM)
• Data Governance, Quality, Security, Audit, Balance & Control
• Solid understanding of enterprise architecture practices, including:
• Strong understanding of data integration challenges and solution patterns.
• Experience with statistical and data science languages such as Python and R (strong asset).
• Strong business acumen with deep understanding of:
• Financial systems
• Corporate and backoffice systems
• Enterprise data management, analytics, and AI technology landscape
• Strong problemsolving skills, unquestioned integrity, and high collaboration capability.
• Passion for innovation, continuous improvement, modernization, and change management.
• Excellent written and verbal communication skills, with the ability to communicate effectively at all levels.
• High sense of ownership, accountability, and pride in delivered outcomes.