Head of Data & AI Platform & Integration

HÖEGH LNG AS

Oslo fylke

On-site

NOK 1,800,000 - 2,600,000

Full time

3 days ago

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Benefits offered by this job

Competitive compensation

Flexible working hours

Canteen and lunches

International environment

Gym facilities

Job summary

Höegh Evi AS is seeking a Head of Data, AI and Integration to lead the development and evolution of its enterprise data platform and data engineering capabilities, ensuring trusted, secure and scalable data solutions that support analytics, AI and integration.

You will set the platform's technical roadmap, engineering standards and capability development, working with IT, business and technology stakeholders to enable digital transformation and future AI ambitions.

Qualifications

Relevant higher education in computer science, data engineering, information technology or a related discipline.
Equivalent practical experience will also be considered.
Solid professional experience in data engineering, including developing and maintaining data pipelines, integrations and data platforms.

Responsibilities

Lead data engineering delivery: Coordinate and contribute to the design, development and maintenance of scalable data pipelines, integrations and data solutions.
Lead data platform development: Own the technical development and continuous improvement of our Azure Databricks-based data platform, including Lakehouse architecture, data pipelines, integrations, performance and reliability.
Strengthen data quality and governance: Establish and maintain robust practices for data quality, reliability, security, documentation and access.
Enable analytics and AI: Develop trusted, well‑structured data foundations that support reporting, business intelligence, advanced analytics and future AI applications.
Build internal capability: Lead and develop the data engineering team, establish consistent engineering practices, mentor colleagues and coordinate delivery priorities, while remaining actively involved in complex technical work and performing development work.
Partner with the business: Work with stakeholders across functions to understand requirements, identify opportunities and translate business challenges into effective technical solutions.
Drive continuous improvement: Identify opportunities to simplify, automate and improve data processes, architecture and engineering workflows.
Own technical direction and architecture: Set the technical roadmap for the enterprise data platform, lead architecture and design decisions, and establish engineering standards that support scalable, secure and maintainable solutions.