Senior Data Architecture Leader: AI-Ready Data & Governance

Sii Poland

Toruń

On-site

PLN 260,000 - 420,000

Full time

14 hours ago
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Benefits offered by this job

Great Place to Work
Solid financial situation
Centre of internal trainings
Many experts you can learn from
Profit sharing

Job summary

Sii Poland is seeking an experienced data architecture leader to drive enterprise-wide data practices in a regulated, research-driven environment. The role focuses on shaping data strategy, scalable information management, and enabling data-driven initiatives across business functions.

You will translate business needs into reusable data models, guide teams on data structures and governance, and collaborate with both business and technology teams to ensure data assets are reliable and AI-ready.

Qualifications

  • 8+ years of experience in data architecture or data management in regulated industries.
  • Experience with cloud-based data environments, data modeling, and SQL.
  • Fluent English written and spoken.

Responsibilities

  • Define and evolve enterprise data architecture principles, standards, and governance practices.
  • Design scalable data solutions that support reporting, analytics, and operational processes.
  • Translate business needs into reusable, high-quality data products and information models.
  • Guide teams in adopting consistent data structures, semantic frameworks, and architectural best practices.
  • Collaborate with stakeholders across business and technology domains to drive data-related initiatives.
  • Identify opportunities to improve data capabilities and support the development of an AI-ready data ecosystem.

Skills

Data architecture
Data management
Analytics
Regulated industry experience
English communication
Stakeholder collaboration

Tools

SQL
Cloud data environments
Data modeling
Metadata & lineage

Job description

Sii Poland is seeking an experienced data architecture leader to drive enterprise-wide data practices in a regulated, research-driven environment. The role focuses on shaping data strategy, scalable information management, and enabling data-driven initiatives across business functions.

You will translate business needs into reusable data models, guide teams on data structures and governance, and collaborate with both business and technology teams to ensure data assets are reliable and AI-ready.

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