Global Data, Analytics & AI Architecture Manager

Hitachi Energy Ltd.

Zürich

Hybrid

CHF 210,000 - 270,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Well-being & care
Leave benefits
Flexible work options
Financial security

Job summary

Hitachi Energy Ltd. seeks a Senior DAAI Architect to shape the enterprise data, analytics, and AI architecture, establishing standards, governance, and a robust capability roadmap across the organization.

You will lead governance boards, drive ADRs and reference architectures, and collaborate with senior leaders to ensure scalable, platform-aligned delivery of data and AI initiatives.

Qualifications

  • 10+ years in Enterprise or Solution Architecture.
  • Experience leading architecture governance and boards.
  • Proven ability to translate architectural vision into scalable, platform‑aligned capabilities.
  • Strong cloud/data/AI platform knowledge (Azure, Databricks).
  • Excellent stakeholder management at a global level.

Responsibilities

  • Lead DAAI Architecture governance and advisory services.
  • Define target architecture, capability roadmap, and standards.
  • Own architecture reviews and design gates.
  • Guide use-case routing and platform alignment.
  • Mentor Enterprise and Solution Architects.
  • Collaborate with business and technology leaders across the organization.

Skills

Enterprise Architecture
Architecture governance
Cloud platforms
Stakeholder management
Azure AI / Databricks

Tools

Microsoft Azure AI
Microsoft AI Foundry
Databricks
Microsoft Fabric

Job description

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.

We are a global leader in electrification, powering the electricity era to meet the energy demands of today, and the next 25 years. As the energy arm of Hitachi Group, over three billion people depend on our pioneering, mission-critical technologies to power their daily lives.

With over a century of innovation, we are addressing the most urgent energy challenge of our time: driving the evolution of the world's energy system to ensure abundant, secure, affordable, and sustainable power for today's generation and the next.

With an unparalleled installed base in over 140 countries, we are the grid ecosystem partner across the utility, industry, data center, and transportation sectors. Headquartered in Switzerland, we employ over 56,000 people in 60 countries and generate revenues of around $20 billion USD.

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