Director, Licensing Intelligence, Modeling & Analytics

Core Responsibilities

• Define and deliver the data, intelligence, and analytics roadmap for Legal and Patent Licensing, aligned with long-term licensing growth and portfolio objectives.
• Establish an intelligence framework integrating market data, licensee data, financial outcomes, patent assets, and external signals to enable informed decision-making.
• Prioritize analytics investments by balancing speed, rigor, and business impact in evolving environments.
• Lead the aggregation and analysis of global market intelligence across relevant industries (e.g., audio, video, consumer electronics, automotive, and emerging device ecosystems).
• Develop models that translate technology adoption and licensing dynamics into forecastable business opportunities.
• Monitor competitive and ecosystem developments, including standards evolution, patent pools, and enforcement trends.
• Design and continuously improve economic and royalty models supporting licensing agreements, patent pools, enforcement scenarios, and new program development.
• Partner with Finance and Licensing teams to ensure models support decision-making and long-term planning.
• Lead the application of AI and machine learning to legal and licensing use cases (e.g., compliance risk, forecasting, workflow automation).
• Identify and pilot high-impact use cases and support transition from experimentation to practical application.
• Oversee the design and evolution of data pipelines, models, and analytics platforms supporting Legal and Patent Licensing.
• Promote data quality, transparency, and governance aligned with legal and compliance standards.
• Enable development of clear, executive-ready dashboards and visualizations.
• Collaborate with cross-functional teams (e.g., IP Protection, Patent Licensing, Legal Operations, Finance, Technology Standards) to align analytics with business priorities.
• Translate analytical outputs into clear, accessible insights for diverse stakeholders.
• Support development of a high-performing team spanning analytics, data engineering, and market intelligence.
• Communicate the business impact of data and intelligence initiatives with clear linkage to outcomes and risk management.
• Support adoption of data-informed decision-making across licensing and legal workflows.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Finance, Engineering, or a related quantitative field.
• Experience: Experience leading analytics, intelligence, or modeling functions in patent licensing, intellectual property, legal, finance, or related environments.
• Experience: Synthesizing market data in technology-driven industries.
• Experience: Developing and maintaining economic or royalty models.
• Technical Skills: Experience with Databricks and business intelligence tools (e.g., Power BI, Tableau), proficiency in SQL and Python for data analysis and modeling, experience working with large, complex datasets.

Core Capabilities

• Ability to translate complex analytics into clear, actionable insights.
• Ability to collaborate and influence across teams and functions.

Preferred Qualifications

• Familiarity with FRAND licensing principles, standards-essential patents, or patent pool environments.
• Experience applying predictive analytics to technology adoption or licensing scenarios.
• Background in management consulting, strategy, or analytics transformation.

Leadership Competencies

• Strategic Thinking in Uncertainty: Sets direction while navigating evolving information.
• Innovation in Analytics & AI: Identifies opportunities to apply advanced analytics in practical ways.
• Collaboration & Trust-Building: Builds effective partnerships across teams.
• Change Leadership: Supports sustained adoption of data-informed practices.
• Executive Communication: Clearly connects insights to business outcomes.