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Senior Manager, AI/BI Analytics Platform (Biotech, Remote)

Copenhagen, Capital Region
Posted 3 weeks, 2 days ago
Data Science

About the role

Job summary

This role involves leading the Enterprise AI/BI Analytics Platform, focusing on the strategy, architecture, and delivery of advanced business intelligence and AI-driven analytics capabilities across the organization. The position aims to transition from traditional dashboards to AI-enhanced, self-service analytics experiences.

Responsibilities

  • Manage and enhance the enterprise BI ecosystem, including tools like Spotfire, Tableau, Qlik, and Power BI.
  • Define platform standards and reduce tool fragmentation.
  • Establish scalable patterns for dashboard development and governance.
  • Drive migration to a unified, metadata-driven analytics experience.
  • Develop and execute the roadmap for AI-enabled analytics, including natural language querying and automated insights.
  • Evaluate and integrate new technologies, such as LLM-based analytics.
  • Ensure integration between BI layers and business transformation logic.
  • Collaborate with data governance to align on standards.
  • Act as the main liaison between business stakeholders and the analytics platform.
  • Promote data literacy and effective use of BI tools.

Qualifications

  • Bachelor's degree in Computer Science or Bioinformatics preferred.
  • 5-8+ years in BI, analytics, or data platform roles, with 3+ years in operational management.
  • Experience in regulated industries like biotech or pharma is preferred.
  • Proficient in at least two BI tools (Tableau, Power BI, Qlik, Spotfire).
  • Strong knowledge of modern data platforms (Databricks, Snowflake) and SQL.
  • Familiarity with metadata and governance concepts.

Skills

  • Strong leadership and platform thinking.
  • Ability to translate business needs into scalable solutions.
  • Excellent collaboration skills with diverse teams.

Education

  • BS degree in a relevant field required.

Tools

  • Experience with BI tools (Spotfire, Tableau, Qlik, Power BI) and modern data platforms (Databricks, Snowflake).
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