Measurement Analytics & Insights Senior Manager

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 Measurement Analytics & Insights Senior Manager is responsible for supporting the development and implementation of measurement strategies designed to evaluate the performance and impact of strategic investments and initiatives. This individual assists in creating and refining key performance indicators (KPIs) and success metrics aligned with business objectives and contributes to the design and maintenance of measurement frameworks and methodologies. Utilizing standardized tools and templates, the Senior Manager analyzes data to generate insights that track progress against strategic goals and identify optimization opportunities. They prepare and present clear visualizations, reports, and presentations to communicate insights and recommendations to stakeholders while collaborating with cross-functional teams to ensure measurement efforts align with organizational priorities.

Key Responsibilities

• Assist in the development and implementation of measurement strategies to evaluate the performance and impact of strategic investments and initiatives.

• Support the creation and refinement of key performance indicators (KPIs) and success metrics aligned with business objectives.

• Contribute to the design and maintenance of measurement frameworks and methodologies.

• Utilize standardized tools and templates to ensure consistency in measurement across projects.

• Analyze data to generate insights that measure progress against strategic goals and identify optimization opportunities.

• Prepare and present clear visualizations, reports, and presentations to communicate insights and recommendations to stakeholders.

• Collaborate with cross-functional teams to ensure measurement efforts align with organizational priorities.

• Provide advisory support on data sources, including collection methods and frequency.

• Assist in the development of new KPIs and provide guidance on key results.

• Conduct industry benchmarking to inform measurement practices and strategies.

• Identify opportunities for process automation and scalability in measurement activities.

• Support a culture of data-driven decision-making by promoting the value of measurement in driving business outcomes.

• Comply with all laws, regulations, and policies that govern the conduct of Genentech activities.

Who You Are

Minimum Candidate Qualifications & Experience

• 5 years of professional experience in measurement, analytics, or impact assessment roles.

• Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, or a related field.

• Familiarity with designing and implementing measurement frameworks, KPIs, and success metrics.

• Experience in preparing and presenting data-driven insights and recommendations.

• Proficiency in data analysis tools such as SQL, Python, R, or equivalent.

• Experience with data visualization platforms like Tableau, Power BI, or similar.

• Basic understanding of statistical modeling, impact evaluation, and measure