Senior Data Lead – Product

Schibsted

. Own Product Data as a discipline across the User, Content, and Performance domains .

Posted 10/7/2026full-timeNorwaySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data product ownership, analytics, and engineering, with a strong focus on building standards, metrics, and AI applications. Proven ability to lead cross-functional initiatives and collaborate effectively with diverse stakeholders.

Highest-signal resume keywords

7+ Years Experience In Analytics, Data Engineering, Or Data ScienceStrong SQL And Data Modelling SkillsHands-On Experience With Dbt And SnowflakeApplied Experience Using AI And LLM ToolingFluent Swedish Or Norwegian

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Hard Skills

Data Product OwnershipAnalyticsData EngineeringData ScienceSQLData ModellingAI ApplicationsMetrics And KPIs DesignTechnical WritingData Governance

Soft Skills

CollaborationCoachingJudgementInfluenceCommunication

Tools & Technologies

DbtSnowflakeAI ToolingLLM Tooling

Industry Keywords

Data MeshData QualityGDPR PrivacyExperiment DesignCausal InferenceMedia Experience

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Own Product Data as a discipline across the User, Content, and Performance domains
Define technical and analytical direction with the Director of Data
Act as a reference point for analysts, data engineers, and data scientists
Build an operating model and shared playbook of standards, guidelines, and reusable patterns
Establish practices for data-product ownership, documentation, reliability, metrics, KPIs, engineering, and experimentation
Lead cross-product data initiatives spanning multiple domains and brands
Explore and scale AI applications across data work and set quality standards for AI-produced analysis
Ensure data is ready to power AI product features
Partner with central Data and AI teams on governance, architecture, and shared standards
Translate shared decisions into Product ways of working
Coach and develop senior and lead individual contributors without line management
Collaborate with editorial, brand, technology, product, and data stakeholders across the Nordics

Requirements

What you’ll need

7+ years of experience in analytics, data engineering, or data science
Several years in senior or lead roles with influence across teams
Experience building shared ways of working, standards, and best practices across several teams
Experience designing metrics and KPIs across brands, products, or markets
Strong SQL and data modelling skills
Hands-on experience with dbt and a cloud warehouse such as Snowflake
Strong skills in Python or R
Applied experience using AI and LLM tooling in analytical or engineering work
Clear technical writing; ideally experience with architecture decision records (ADRs)
Strong judgement about scope and priorities
Depth in data mesh/data product practice, data governance, data quality and GDPR privacy, experiment design and causal inference, or ML and AI methods is a strong plus
Fluent Swedish or Norwegian is a plus
Experience from media or translating data work for executive and board-level audiences is a plus
English is Schibsted's corporate language

Benefits

Comp & perks

Diverse, inclusive workplace
Continuous learning
Collaborative, impact-driven team environment
Structured yet flexible ways of working
Opportunities to work on public interest journalism and digital media
Application may be submitted in English, Swedish, or Norwegian