Senior Manager, RBQM Analytics

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Purpose: Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.

The Sr. Manager, Data Science and Analytics is a people manager role and is responsible for talent management and operations delivery. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems. Ensures consistency in analysis techniques and delivery. Accountable for gathering cross-functional input into the development of Advanced Analytics capabilities and ensures follow-through via robust project management and stake holder management.

Roles and Responsibilities:

· Responsible for people management including contractors and consultants

· Support the implementation of next generation technology and process to enable enterprise data analytics on pace with emerging integrated data sources (biomarker/translational, big data, digital sources, real world data, pharmacovigilance data, clinical trial data)

· Responsible for coaching, mentoring and performance management of direct reports. Responsible for talent development in alignment with R&D business needs

· Leads cross-functional initiatives with matrixed teams; Connects with cross-functional leadership and enables analytics capabilities to drive data-driven operations and decision making

· Influences the cross-functional stakeholders to identify opportunities to unleash the full-potential of data and analytics

· Represents the functional