Director, Licensing Intelligence, Modeling & Analytics at Dolby Laboratories, Inc.

Brisbane, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

292000.0

Posted On

21 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Patent Licensing, Economic Modeling, Royalty Modeling, Market Intelligence, AI and Machine Learning, SQL, Python, Databricks, Power BI, Tableau, Data Engineering, Scenario Planning, Intellectual Property Protection, Cross-functional Leadership, Data Visualization, Strategic Planning

Industry

Computers and Electronics Manufacturing

Description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits. 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 Intelligence, Data & Analytics Strategy 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 Market Intelligence & Competitive Analysis 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 Economic, Royalty & Scenario Modeling 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 Impact Communication & Change Leadership 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 Core Capabilities 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 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 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. #LI-JB1 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.

Responsibilities

Lead the development and operationalization of an end-to-end intelligence, analytics, and modeling capability for patent licensing and IP protection. Drive a multi-year roadmap integrating market data, AI-enabled decision support, and economic forecasting to support licensing strategy.