Functional Analytics & Insights Senior Manager - Medical

Why Genentech

​​​​​​​We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

Who We Are

Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.

Data, Analytics, and AI fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.

In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.

Job Summary:

The Functional Analytics & Insights Senior Manager - Medical is tasked with leading initiatives to embed a culture of measurement and experimentation within Genentech’s Commercial, Medical, and Government Affairs (CMG) teams, with a focus on Medical. This role establishes best practices and standards while partnering with technical and business teams to integrate data-driven approaches into daily operations. By collaborating closely with stakeholders across Leadership, Policy & Access, US Medical, and Finance, the Senior Manager influences strategic decision-making and drives initiatives that enhance customer experience and ensure resources are focused on high-impact activities.

Key Responsibilities

• Advise stakeholders to define clear, impactful business priorities, and develop action plans. Develop strategic options and recommendations by synthesizing findings, connecting insights across therapeutic areas, ecosystems, or analytic domains, and aligning them with organizational goals.

• Demonstrate proficiency in tailoring communication to specific audiences, communicating and influencing senior leaders and simplifying details for stakeholder buy-in.

• Autonomously operates and manages all stakeholders (with limited manager guidance received through pro-active upward management).

• Collaborate with stakeholders to deeply understand business needs, key questions, and priorities, and ensure alignment with project objectives and analytic lead direction.

• Perform custom analyses by applying appropriate analytic techniques to address business challenges.

• Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business and patient value. 

• Contribute to continuous organizational improvement by sharing best practices, identifying opportunities for automation, and enhancing the efficiency and impact of analytic workflows.

• Play an active role in the adoption of analytical products by staying up to date on the product roadmap, participating in training, user testing (as needed), and providing constructive feedback to ensure products are integrated into workflows. Embed and integrate products into workflows and foster Data, Analytics, and AI’s product-first culture.

• Effectively interact with and guide offshore teams to ensure alignment with project objectives and maintain high-quality deliverables.

• Quickly adapt to evolving priorities by working flexibly within a modular structure to address various business needs and deliver impactful insights across the following domains: 

  • Market Research: Conduct qualitative and quantitative research with patients, caregivers, healthcare providers, and other stakeholders in the healthcare ecosystem to assess and improve the patient experience.

  • Competitive Intelligence: Monitor and track the competitive landscape, assess competitive threats, and gather intelligence from key national and regional medical conferences to inform strategy and positioning.

  • Data Analytics: Analyze secondary and structured datasets to surface actionable insights that benefit customers and patients.

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