Executive Director, Commercial Decision Sciences - Thousand Oaks CA

Responsibilities

• Define and execute the long-term vision for Decision Sciences, including data science, media analytics, and investment optimization aligned with overall commercial and enterprise strategy.
• Partner with senior commercial leaders to establish performance goals, success metrics, and analytics roadmaps that support product launches, in-line growth, and lifecycle management.
• Advocate for and influence the company’s data and technology roadmap to ensure adoption of innovative data sources, analytical products, and advanced capabilities that improve investment efficiency and effectiveness.
• Drive the development and application of advanced analytical methodologies, including Marketing Mix Modeling (MMM), attribution analysis, uplift modeling, and scenario simulation.
• Enable forward-looking planning through forecasting, optimization engines, and what-if scenario analysis to guide future investment decisions.
• Lead media analytics and campaign measurement, including the design and evolution of media measurement methodologies across digital, traditional, and emerging channels.
• Deliver actionable insights on audience engagement, reach, conversion, and patient and HCP behavior to improve campaign performance and targeting.
• Collaborate closely with marketing, sales, finance, value, and access, medical, technology, and data strategy teams to ensure analytics solutions are aligned with business needs and compliant with regulatory requirements.
• Support commercial teams with data-driven recommendations for launch strategy design, in-line optimization, and lifecycle investment decisions.
• Function as the primary liaison with external media agencies, analytics partners, and technology vendors, ensuring high-quality delivery and value realization.
• Influence stakeholders to adopt insights and embed analytics into day-to-day decision-making.
• Recruit, develop, and lead a high-performing team of data scientists, analysts, engineers, and analytics leaders.
• Foster a culture of continuous learning, innovation, and experimentation in commercial investments.
• Establish best practices, standards, and governance for analytics development and deployment.
• Translate complex analytical findings into clear, compelling insights and recommendations for executive leadership and key stakeholders.
• Support executive decision forums with fact-based perspectives and scenario analyses.
• Champion the ethical and compliant use of data and advanced analytics in a highly regulated environment.
• Identify opportunities to leverage AI, machine learning, and automation to accelerate insight generation and decision-making.
• Contribute to enterprise data strategy discussions, including data quality, governance, and architecture.

Qualifications

• Doctorate degree & 6 years of decision science experience OR Master’s degree & 10 years of decision science experience OR Bachelor’s degree & 12 years of decision science experience AND 6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources.