Power Grid Data Solutions Architect

17 hours ago


Stockholm, Stockholm, Sweden Ingrid Capacity Full time
About Us

Ingrid Capacity is at the forefront of the global energy transition, committed to shaping the energy system of the future. We prioritize innovation, bold ideas, and continuous learning, fostering a culture of trust, growth, and collaboration.

Our team plays a key role in driving strategic decision-making and overall company success. We believe in empowering our team members to make a real impact and be part of shaping the energy system of the future.

Job Description

The Data Driven Grid Lead will be responsible for leading impactful design and development projects that align with our mission to shape the energy system of the future. This role involves developing robust and engaging front-end solutions, ensuring seamless integration with back-end systems, and collaborating closely with the rest of the Ingrid Tech team and other business units to deliver cohesive and user-centric tools.

Key Responsibilities
  • Define and prioritize the product roadmap for solutions designed to support the power grid, leveraging data and machine learning technologies.
  • Collaborate with stakeholders, including engineers, data scientists, and end users, to gather requirements and align product goals with business objectives.
  • Act as the primary point of contact for the product, translating complex technical concepts into actionable features and user stories.
  • Oversee the end-to-end product lifecycle, from ideation and design to development, launch, and ongoing optimization.
  • Evaluate and incorporate feedback from users and stakeholders to refine product features and improve usability.
  • Monitor market trends, user needs, and advancements in data science and machine learning to inform product strategy.
Required Skills and Qualifications
  • Proven experience as a Product Owner, Product Manager, or similar role, preferably in the energy sector or a technical domain.
  • Strong understanding of power systems, grid operations, or energy distribution.
  • Familiarity with data analytics and machine learning concepts and their application in solving real-world problems.
  • Ability to communicate effectively with technical and non-technical stakeholders, bridging gaps between teams.
  • Strong organizational and prioritization skills, with the ability to manage multiple projects simultaneously.

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