
Data Architect Leader
2 days ago
**About Us:**
Länsförsäkringar Alliance, a renowned Swedish financial group, has been safeguarding its 3.9 million customers for over two centuries.
Our legacy is now evolving into Alf, a pioneering tech company that combines cutting-edge IoT technology with the expertise of Länsförsäkringar Alliance to create innovative solutions for a secure and sustainable lifestyle.
We're driven by a mission to empower our customers to proactively care for and protect their homes using intelligent solutions that simplify life and ensure safety.
As part of LF Alliance, Alf operates within a unique ecosystem where innovation meets stability, offering an engaging work environment characterized by agility and dynamism.
**The Role:****Head of Data & Analytics at Alf**: You'll be instrumental in shaping our data strategy and fostering a data-driven culture. This role seamlessly blends technical leadership with strategic efforts to ensure data is leveraged effectively to support business and product development.
You'll collaborate closely with our Analytics Engineer and tech team to develop and maintain our data platform, guaranteeing it evolves to meet future needs in a cost-efficient and scalable manner.
Moreover, you will be responsible for creating a comprehensive data strategy together with leadership, product teams, and external stakeholders like Länsbolagen and LF AB, ensuring data insights drive informed decisions.
- 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.
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