Senior Data Lead: Product Data & AI Innovation

Schibsted

Stockholms kommun

On-site

SEK 1,000,000 - 1,500,000

Full time

2 days ago
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Job summary

Schibsted is seeking a Senior Data Lead to drive a unified data strategy across analytics, data engineering and data science. You will set direction with the Director of Data, shape an operating model, and lead cross-domain initiatives to improve decision-making and AI-powered products.

You will mentor senior contributors, partner with central Data teams on governance, and help align products and brands with shared data standards across the Nordics.

Qualifications

  • 7+ years of analytics, data engineering or data science experience, including senior or lead roles.
  • Experience building shared standards across several teams.
  • Experience designing metrics and KPIs that hold across brands, products or markets.
  • Strong SQL and data modelling skills, with hands-on dbt and a cloud warehouse such as Snowflake.
  • Strong Python or R skills.
  • Applied experience using AI and LLM tooling in analytical or engineering work.
  • Clear technical writing, ideally with ADRs.
  • Strong judgement about scope and priorities.

Responsibilities

  • Set the direction with the Director of Data across data domains and be a reference for analysts, data engineers and data scientists.
  • Shape how we work by building an operating model and a shared playbook of standards and reusable patterns.
  • Lead cross-product data initiatives that span several domains and brands.
  • Improve how we build with AI and power AI-enabled data features.
  • Partner with central Data and AI teams on governance, architecture and standards.
  • Grow senior staff by coaching senior contributors without line management.

Job description

Schibsted is seeking a Senior Data Lead to drive a unified data strategy across analytics, data engineering and data science. You will set direction with the Director of Data, shape an operating model, and lead cross-domain initiatives to improve decision-making and AI-powered products.

You will mentor senior contributors, partner with central Data teams on governance, and help align products and brands with shared data standards across the Nordics.

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