Enterprise Architect - Data & AI

Posted 5 Days Ago
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Oslo, NOR
In-Office
Entry level
Greentech
The Role
Defines and governs Statkraft’s enterprise Data and AI architecture, including target architectures, standards, data platforms, analytics, AI, governance, security, and information management. The role aligns business strategy with technology investments, guides architecture decisions, enables scalable Generative AI adoption, and influences product, platform, and senior stakeholder teams across the enterprise.
Summary Generated by Built In
Company Description

Statkraft has been making clean energy possible for over a century. Unrivaled pioneering spirit and a strong commitment towards a more sustainable future. That’s what we offer. Today, we are Europe’s largest renewable energy producer and employ more than 6.200 colleagues in 20 countries around the world. Our vision is clear - to renew the way the world is powered. But there is more work to be done and that is why we need you to help us! 

Why join us

We promise, that here with us, you will build a better way. You will take ownership for projects, you will collaborate across boundaries, you will embrace new skills, guide and be surrounded by some of the smartest people in the industry. Together we lead the energy transition to ensure a more sustainable future for our customers, society and future generations. Together, let’s renew the way the world is powered by building a better way.

Job Description

 As Enterprise Architect for Data & AI, you will provide strategic leadership for Statkraft's enterprise data and AI landscape. You will work across business units, technology domains and leadership teams to establish a coherent architecture that supports innovation while ensuring governance, security and long-term sustainability. Your responsibilities include:

  • Define and maintain Statkraft's target architecture for Data & AI
  • Drive enterprise-wide architecture principles, standards and reference architectures
  • Lead architecture decisions related to data platforms, analytics, AI and information management
  • Support the development of enterprise data capabilities and governance frameworks
  • Enable scalable adoption of AI and Generative AI solutions
  • Ensure alignment between business priorities, data strategy and technology investments
  • Guide architecture decisions across data products, platforms and AI initiatives
  • Partner with product teams, platform teams and senior stakeholders to accelerate value creation

Qualifications

 We look for an Enterprise Architect with the skills required to strengthen our capability-driven approach to Market Operations, ensuring that business and technology development are aligned with strategic objectives.

Required Experience

  • Proven experience in Enterprise Architecture, Data Architecture or Platform Architecture, including the design of large-scale cloud-based data ecosystems and enterprise data platforms.
  • Deep expertise in data management, information architecture and modern data platforms, with the ability to shape enterprise-wide data strategy.
  • Strong understanding of modern analytics, AI and emerging data-driven technologies.
  • Ability to balance long-term strategic vision with pragmatic delivery and business outcomes.
  • Strong leadership, communication and influencing skills, with the ability to guide Solution Architects, align stakeholders and ensure solution decisions support the target Data & AI architecture.

Preferred Experience

  • Experience shaping modern cloud-based data, analytics and AI platforms using technologies such as Azure, Microsoft Fabric, Databricks, DataSphere or similar ecosystems.
  • Knowledge of Generative AI, Responsible AI and AI governance practices.
  • Experience with modern data operating models, including data products, data mesh, data fabric or similar approaches.
  • Understanding of regulatory, security, privacy and compliance requirements related to enterprise data and AI.
  • Experience defining architecture principles, standards and reference architectures for Data & AI landscapes.
  • Experience in energy, utilities, commodities trading or other data-intensive industries.

Additional Information

At Statkraft, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes (non-exclusive): 

  • Unlimited learning opportunities at various levels of the organisation
  • The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds.
  • The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet”.
  • A work culture that puts emphasis on the individual, offering flexible working solutions, and work life balance principles.

Our vision is to renew the way the world is powered. To navigate the complex journey ahead, we need every voice at the table. We therefore work actively to be a diverse and inclusive workplace and welcome all applicants regardless of background, gender, age, sexual orientation, religious belief, ethnicity, nationality or disability. 

Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.

Statkraft manages critical infrastructure and services in several countries. We conduct background checks on qualified applicants before hire. This may include a conflicts of interest statement from candidates.

Application deadline: 09.10.2026

Skills Required

  • Proven experience in Enterprise Architecture, Data Architecture, or Platform Architecture, including designing large-scale cloud-based data ecosystems and enterprise data platforms.
  • Deep expertise in data management, information architecture, and modern data platforms, with the ability to shape enterprise-wide data strategy.
  • Strong understanding of modern analytics, AI, and emerging data-driven technologies.
  • Ability to balance long-term strategic vision with pragmatic delivery and business outcomes.
  • Strong leadership, communication, and influencing skills, including the ability to guide Solution Architects and align stakeholders.
  • Experience shaping modern cloud-based data, analytics, and AI platforms using technologies such as Azure, Microsoft Fabric, Databricks, DataSphere, or similar ecosystems.
  • Knowledge of Generative AI, Responsible AI, and AI governance practices.
  • Experience with modern data operating models, including data products, data mesh, data fabric, or similar approaches.
  • Understanding of regulatory, security, privacy, and compliance requirements related to enterprise data and AI.
  • Experience defining architecture principles, standards, and reference architectures for Data and AI landscapes.
  • Experience in energy, utilities, commodities trading, or other data-intensive industries.
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The Company
HQ: Oslo
4,397 Employees
Year Founded: 1895

What We Do

Statkraft is a leading company in hydropower internationally and Europe’s largest generator of renewable energy. The Group produces hydropower, wind power, solar power, gas-fired power and supplies district heating. Statkraft is a global company in energy market operations. Statkraft has over 5,300 employees in 21 countries.

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