IPR Analytics Manager

About this opportunity
We are looking for a Manager AI Driven Patent Analytics to help build and scale Ericssons in-house capability for AI-enabled patent and business analytics. The role is part of the Strategy & Business Development team within IPR Strategy & Value and will support decision making across IPR business with timely trusted and decision-ready analytics.
The Manager will turn AI-driven patent analytics methods into repeatable analyses tools and secure workflows. This includes managing the day-to-day analytics pipeline coordinating priorities across internal experts Ericsson stakeholders and external vendors and ensuring that outputs are reliable transparent reproducible secure and compliant.

What you will do
Manage the day-to-day pipeline and priorities for patent analytics work across licensing litigation business development and portfolio-related use cases.
Develop validate and deploy AI-assisted workflows for portfolio analysis landscaping and essentiality or infringement screening.
Lead recurring and project-specific analyses and translate results into clear decision-ready insights for stakeholders and management.
Coordinate analysts internal subject-matter experts AI-program resources and external vendors to deliver high-quality analytics outcomes.
Drive adoption of AI-enabled tools reusable methods dashboards and self-service analytics capabilities across BIPL.
Ensure data quality methodological transparency reproducibility security and compliance in analytics workflows and outputs.
Document assumptions limitations methodologies and validation steps so that analyses can be challenged repeated and improved over time.

You will bring
Hands-on experience in patent analytics data science and AI-assisted analysis; practical experience on running complex analytics and/or development projects is preferred.
Strong understanding of SEP portfolios telecom technologies and patent licensing or the ability to quickly build credibility in these areas.
Ability to translate business questions into structured analytical work define suitable methods and assess methodologies critically.
Experience managing analytical projects priorities stakeholders and dependencies in a cross-functional environment.
Strong communication skills including the ability to explain assumptions limitations confidence levels and results clearly to both expert and management audiences.
A structured quality-oriented working style with high attention to data governance information security compliance and reproducibility.
Collaborative mindset and ability to work effectively with patent professionals licensing teams technical experts data specialists and external vendors