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Electrolux Group

Engineering Manager - Global Data and AI Platform

Electrolux Group
Sweden · Full-time · Not Applicable

Create moments that matter. Decode the future.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

The Data Platform Team at Electrolux is dedicated to empowering data-driven decision-making and innovation with a robust, scalable and secure data platform built on Azure using data mesh architecture. Our team designs and implements data mesh architecture that promotes autonomy and agility across the organization. We work closely with cross-functional teams including data scientists, product architects and data engineers to understand requirements, iterate solutions and deliver value-driven outcomes. We implement best practices for data governance, access control and compliance, leveraging latest tools and industry standards.

We are looking for an Engineering Manager for the Global Data and AI platform (GDAI), who will oversee the development and implementation of cloud-based data platform technologies.

What you'll do:

  • Lead the design, deployment, and maintenance of data and AI platforms.
  • Work closely with Product manager to build roadmap for the GDAI platform.
  • Ensure platform reliability, scalability, and performance.
  • Manage vendor relationships and third-party integrations.
  • Evaluate emerging technologies and trends to drive innovation and competitive advantage.
  • Implement and enforce data governance policies to ensure data quality, security, and compliance.
  • Collaborate with Data science, Engineering and Cloud Office teams as necessary.
  • Lead and mentor a team of platform engineers and administrators.
  • Foster a collaborative high-performance work environment.
  • Manage projects, resources and budget to ensure they are delivered on time, within budget and to the highest quality standards.

Who you are:

A strategic thinker with technical expertise to drive innovation, manage cross-functional teams, and ensure that the data infrastructure and AI solutions align with business goals. You possess a strong background in data management, AI technologies and platform engineering.

Qualifications:

  • Bachelor’s degree in Computer science, Data Science, Engineering, or a related field.
  • 5+ years of proven experience in managing Cloud data and AI platforms in a complex environment.
  • Demonstrated experience leading cross-functional teams and projects.
  • Proficiency in Cloud platforms and data management tools (e.g., Azure, Databricks, Airflow, OpenAI etc).
  • Understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Spark ML).
  • Excellent leadership, communication, and interpersonal skills.
  • Strong problem-solving abilities and a strategic mindset.
  • Ability to manage multiple priorities and adapt to changing requirements.
  • Proficiency in English.

Where you'll be:

This is a full-time position, based at our Global Headquarters in Stockholm (Sweden).

At our Global Headquarters in Stockholm we are 60+ nationalities under the same roof and we enjoy the look and feel of the office!

Benefit highlights include:

  • Flexible work hours/hybrid work environment.
  • Attractive social benefits package.
  • Extensive learning opportunities and flexible career path.

We look forward to receiving you application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

Key Skills

Ranked by relevance

ai cloud tensorflow pytorch spark
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Posted
Oct 24, 2024
Type
Full-time
Level
Not Applicable
Location
Stockholm

Industries

Manufacturing

Categories

Engineering Information Technology

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