Dolby Careers Director, Licensing Intelligence, Modeling & Analytics

Sound, Visual, & Display Technology•San Francisco, CA

2d•Hybrid

About The Position

Dolby is seeking a Director of Licensing Intelligence, Modeling & Analytics to build and operationalize an end-to-end intelligence, analytics, and modeling capability. This role is foundational to Dolby’s Patent Licensing and IP Protection strategy. It extends beyond traditional analytics to include market intelligence, economic and royalty modeling, scenario planning, and AI-enabled decision support across licensing programs. The 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. This role serves as a key connector across licensing strategy, legal, finance, and data engineering, ensuring data is accurate, accessible, and actionable. The role is responsible for communicating the business impact of data transformation efforts, demonstrating value through measurable outcomes, and supporting the adoption of advanced analytics and AI across the licensing lifecycle.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Finance, Engineering, or a related quantitative field.
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.
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.

Nice To Haves

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.

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.
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.