Global Data, Analytics & AI Architecture Manager

Lead the Data, Analytics, and AI (DAAI) Architecture function, shaping the target architecture, standards, and capability roadmap to enable company goals by leveraging data, analytics, and AI. Drive architecture governance, review boards, and decision-making to ensure consistent use case delivery, platform alignment, and harmonization of the AI, analytics, and data landscape. Partner with business and technology leaders to accelerate value creation and enable scalable, enterprise-wide adoption of data and AI capabilities.

• Evolve and govern the DAAI target architecture, capability roadmap, standards, and architectural principles.
• Lead the DAAI Architecture Board, ensuring effective architecture governance, decision-making, and exception management.
• Establish and maintain reference architectures, reusable patterns, architecture decision records (ADRs), and governance frameworks.
• Own architecture reviews, design gates, advisory services, and solution governance across Data, Analytics, and AI initiatives.
• Guide use case routing and ensure alignment with approved platforms, delivery models, and architecture standards.
• Define and enforce architectural guardrails covering security, responsible AI, Fin Ops, and cost-efficient solution design.
• Drive the operationalization of architecture standards through close collaboration with Data and AI Platform teams.
• Govern and rationalize the Data, Analytics, and AI application landscape, reducing duplication and improving technology alignment.
• Monitor and report architecture governance effectiveness, compliance, pattern adoption, and landscape harmonization outcomes.
• Lead, develop, and mentor a team of Enterprise and Solution Architects while providing strategic architectural leadership across the organization.

• 10+ years of experience in Enterprise or Solution Architecture, with a proven track record of leading architecture governance in complex global organizations.
• Strong experience defining and governing target architectures, capability roadmaps, standards, and enterprise-wide technology strategies.
• Proven expertise in architecture governance, including architecture boards, design reviews, decision management, and exception handling.
• Experience establishing Responsible AI, security-by-design, and Fin Ops-by-design principles for AI and data-driven solutions.
• Demonstrated ability to translate architectural vision into scalable, platform-aligned capabilities and practical reusable enterprise solutions.
• Strong knowledge of cloud, data, analytics, and AI platforms, particularly Microsoft Azure AI services, Microsoft AI Foundry, Microsoft Fabric, and Databricks.
• Experience managing enterprise application landscapes, including dependency mapping, technology rationalization, and capability assessment.
• Excellent stakeholder management, communication, and influencing skills, with the ability to engage senior business and technology leaders across a global organization.

We believe great work thrives in an environment where people feel genuinely supported and fairly rewarded. Our benefits are designed to create real value for every individual - fueling engagement, performance, and growth. By prioritizing well-being, we build a workplace where personal and organizational success grow together.

Our benefit offering is tailored based on your country of employment and generally includes:

• Competitive salary and incentives
• Well-being and care
• Paid and unpaid leave
• Flexible work options
• Benefits that support your financial security
• You will receive more specific information during the recruitment process.

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