
Head of Data Strategy
3 hours ago
Länsförsäkringar Alliance, a leading Swedish financial group, boasts over two centuries of experience in safeguarding its 3.9 million customers.
The legacy of Länsförsäkringar Alliance is now evolving into Alf, a pioneering tech company that combines innovative IoT technology with the group's expertise to create groundbreaking solutions for a safe and sustainable lifestyle.
At Alf, we're dedicated to empowering our customers to proactively care for and protect their homes using smart solutions that simplify life and ensure safety.
We operate as part of LF Alliance, which offers an engaging work environment characterized by agility, dynamism, and the fusion of innovation and stability.
**Key Responsibilities:**- Owning and evolving Alf's data platform, tech stack, and infrastructure—working closely with the Analytics Engineer and tech team to maintain and optimize the current solution, ensuring it remains cost-efficient, up-to-date, and scalable to support future use cases and business needs.
- Identifying and prioritizing data use cases in collaboration with product teams, Länsbolagen, and LF AB, ensuring data is used to support business development and product improvements.
- Conducting workshops and training initiatives to enhance data understanding and adoption across the organization.
- Developing and executing a data strategy and roadmap, working closely with the leadership team, architects, and other stakeholders to prioritize efforts based on business value and efficiency.
- Staying at the forefront of industry trends by exploring new technologies and innovations that can optimize data-driven decision-making.
- Supporting and growing the data team, structuring and expanding it as business needs evolve.
**Required Skills and Qualifications:
- Expertise in: Data modeling principles, SQL and dbt
- Proficiency in: The Databricks platform (Unity Catalog, workspaces, notebooks, RBAC), orchestration tools such as Apache Airflow or Databricks Workflows, streaming platforms such as Apache Kafka, IaC frameworks such as Terraform, CI/CD principles and frameworks such as GitHub Actions, Apache Spark (PySpark), and visualization tools like Power BI, Looker, or Tableau.
- Basic understanding of: Azure environments and services relating to data storage, processing, and transfer such as Storage Accounts, Virtual Machines, Networking, IAM, and Function Apps.
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