Associate Director, Global Oncology Insights and Engagement

Job Description

At our company, we aspire to be the premier research-intensive biopharmaceutical company. We're at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We use the power of leading-edge science to save and improve lives around the world. Join our team and contribute to our mission of translating breakthrough science into innovative medicines that help people with cancer across the globe.

The Associate Director for Global Oncology Insights and Engagement will reside within the associated human health division and Global Oncology Marketing Engagement team. The team operates as part of the global commercial team, providing strategic thought-partnership by understanding pipeline priorities, developing and delivering strategic insights and analytics, and activating digital products and services to inform executive decision-making and increase commercial rigor through all phases of the pipeline asset development and launch readiness.

• Act as a key point of contact for Global Asset Marketing teams, establishing credible relationships and being their strategic thought-partner on relevant topics.
• Translate business needs and priorities to build structured analytical plans and hypotheses that answer business questions by providing actionable insights.
• Effectively communicate advanced analytics to stakeholders to inform business decisions.
• Develop and own commercial insight generation strategy and roadmap, applying the latest technological advancements such as AI to strengthen efficiency & productivity.
• Analyze data across disparate databases/sources (e.g., epidemiology data, claims/EMR data and other sources across US and exUS) to develop insights that inform commercial business questions (e.g., understanding patient journey, referral patterns, patient / HCP segmentation and market sizing).
• Ensure analytical rigor, consistency, and transparency of assumptions and methodologies.
• Integrate insights across primary market research and secondary data sources (e.g., epi data, claims / EMR data, syndicated reports).
• Develop clear, compelling data stories that translate analytics into business recommendations.
• Quarterback our human health division and IT capabilities end-to-end, ensuring integrated delivery across insights, analytics, and technology functions. Connect the dots across the digital division and IT capabilities to deliver cohesive, decision-ready outputs rather than siloed analyses.
• Collaborate effectively with cross‑functional teams with competencies in market research, forecasting, data science, data strategy, competitive insights, marketing operations, medical & clinical backgrounds, while ensuring the right capabilities are engaged at the right time.
• Align cross‑functional teams on scope, methodology, timelines, and outputs to ensure high‑quality, integrated insights delivery.
• Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of AI) that will enhance analytic capabilities of the organization.
• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.
• Identify opportunities to embed next‑generation analytics and digital capabilities into pipeline and launch strategy development.
• Lead and mentor a team of Specialists and Senior Specialists (on‑shore and off‑shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.
• Foster a team culture where team members are focused on "things that matter", empowered to act with urgency, actively innovate and are supported through continuous learning and feedback process.
• Lead cross‑functional insights teams, comprised of cross‑functional stakeholder groups across DHH and other parts of the organization.

• Bachelor's degree in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing,…