Sr. Manager, Analytics & Data Engineering

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

We are seeking a result driven and technical oriented Manager- Analytics and Data Integrity to lead site analytics web and data quality initiatives within our pharmaceutical operation reporting into Digital Systems organization.  This role is central to ensure that all data used in GxP systems are connected, accurate, secure and in full compliance with AbbVie’s global program and regulatory standards including FDA, EMA and MHRA requirements.

This role bridges the data stream from strategy, governance and analytics. This role will lead and implement a site strategy in compliance with regulatory and AbbVie global expectations, champion key site initiatives, and contribute to the global Data Integrity Center of Excellence. Execute a vision of world class data governance that serves our patients by managing the site’s efforts at driving best practices within the data lifecycle.

Responsibilities:

Data Integrity:

• Implement and maintain Data Integrity compliance activities across the end-to-end product lifecycle and various departments in alignment with relevant regulatory regulations and guidelines.
• Implement data governance framework like metadata, ownership and lineage.
• Establish data mapping and monitor data lifecycle – collection, storage, processing and usage. Work closely with data engineers, data scientists, and business units.

Analytics Management:

• Collaborate with various functional stakeholders to integrate analytics into everyday activities and decision-making processes.
• Collaborate with functional leads and peer teams to define and create analytical products tailored to specific category needs, includ