AI-Driven Patent Analytics Leader

Ericsson; Kirkkonummi; On-site; EUR 79,000 - 115,000; Full time

Job summary

Ericsson is seeking a Manager, AI Driven Patent Analytics to scale an in-house analytics capability for AI-enabled patent and business analytics. You will manage the analytics pipeline across licensing, litigation, and portfolio use cases, and lead AI-assisted workflows from data to decision-ready insights.

You will collaborate with analysts, subject-matter experts, AI program resources, and external vendors while ensuring data governance and reproducibility across analytics outputs.

Qualifications

• Hands-on experience in patent analytics, data science, and AI-assisted analysis.
• Strong understanding of SEP portfolios, telecom technologies, and patent licensing, or ability to build credibility quickly.

Responsibilities

• Manage day-to-day pipeline and priorities for patent analytics across licensing, litigation, business development and portfolio use cases.
• Develop, validate, and deploy AI-assisted workflows for portfolio analysis, landscaping, essentiality, or infringement screening.
• Lead recurring and project-specific analyses and translate results into clear, decision-ready insights for stakeholders.
• Coordinate analysts, subject-matter experts, AI resources, and external vendors to deliver analytics outcomes.
• Drive adoption of AI-enabled tools, dashboards, and self-service analytics across BIPL.
• Ensure data quality, transparency, reproducibility, security, and compliance in analytics workflows.
• Document assumptions, limitations, methodologies, and validation steps for reproducibility.

Skills

Patent analytics

Data science

AI-assisted analysis

Project management

Cross-functional collaboration

Communication skills

Job description

Ericsson is seeking a Manager, AI Driven Patent Analytics to scale an in-house analytics capability for AI-enabled patent and business analytics. You will manage the analytics pipeline across licensing, litigation, and portfolio use cases, and lead AI-assisted workflows from data to decision-ready insights.

You will collaborate with analysts, subject-matter experts, AI program resources, and external vendors while ensuring data governance and reproducibility across analytics outputs.