Director, Licensing Intelligence, Modeling & AnalyticsDolby • San Francisco, California, United States
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Director, Licensing Intelligence, Modeling & Analytics
Dolby
- San Francisco, California, United States
- San Francisco, California, United States
À propos
For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team’s rhythm includes regular in‑person connection to support collaboration, learning, and impact.
The
Legal
Department provides core legal support to all Dolby functions, runs several IP‑centric businesses, and leads government relations.
The Director of Licensing Intelligence, Modeling & Analytics is a leadership role responsible for building and operationalizing an end‑to‑end intelligence, analytics, and modeling capability foundational to Dolby’s Patent Licensing and IP Protection strategy. This role extends beyond traditional analytics to include market intelligence, economic and royalty modeling, scenario planning, and AI‑enabled decision support across bilateral and pool‑based licensing programs.
This position will drive and evolve a multi‑year intelligence and analytics roadmap for the Legal, IP Protection, and Patent Licensing organization—translating complex market dynamics, incomplete data, and legal frameworks into clear, actionable insights. The role serves as a key connector across licensing strategy, legal, finance, and data engineering, ensuring data is accurate, accessible, and actionable.
This role is responsible for communicating the business impact of data transformation efforts, demonstrating value through measurable outcomes, and supporting adoption of advanced analytics and AI across the licensing lifecycle.
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
Build scenario‑based forecasting models evaluating a range of outcomes based on varying assumptions
Partner with Finance and Licensing teams to ensure models support decision‑making and long‑term planning
AI, Advanced Analytics & Decision Support
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
Data Infrastructure, Engineering & Visualization
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
Strategic Partnership & Cross‑Functional Leadership
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
Ability to engage effectively with cross‑functional and senior stakeholders
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
Ability to translate complex analytics into clear, actionable insights
Comfort working with evolving or incomplete data
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
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
The San Francisco/Bay Area base salary range for this full‑time position is $212,000 – 292,000, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.
Nearest Major Market: San Francisco Nearest Secondary Market: Oakland
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Compétences linguistiques
- English
Avis aux utilisateurs
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