Global Data, Analytics & AI Architecture Manager

hitachi; Zürich; On-site; CHF 180,000 - 280,000; Full time

Job summary

Hitachi Energy is seeking a senior leader to head the Data, Analytics, and AI (DAAI) Architecture function. You will shape target architecture, standards, and capability roadmaps to enable enterprise goals, while driving governance boards and decision-making for scalable AI capabilities across the organization.

In this role you will guide use-case routing, ensure platform alignment, and enforce guardrails on security, Responsible AI, and FinOps.

Qualifications

• 10+ years in Enterprise or Solution Architecture.
• Experience governing target architectures, capability roadmaps, standards, and enterprise-wide technology strategies.
• Proven expertise in architecture governance, including architecture boards, reviews, decision management, and exception handling.
• Experience establishing Responsible AI, security-by-design, and FinOps-by-design principles.

Responsibilities

• Lead the DAAI Architecture Board and drive governance across Data, Analytics, and AI initiatives.
• Evolve and govern target architecture, capability roadmaps, standards, and architectural principles.
• Define reference architectures, ADRs, and governance frameworks to enable scalable, enterprise-wide adoption.

Skills

Enterprise Architecture

Architecture Governance

Cloud & AI Platforms

Stakeholder Management

Lead/Mentor Teams

Tools

Azure AI Services

Microsoft Fabric

Databricks

Job description

The opportunity

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.

How you will make an impact

• 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, FinOps, 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.

Your background

• 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 FinOps-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.

More about us

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.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data pr