Data Platform Engineering Lead

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

Shape the Future of Data and Analytics: Lead strategic planning and execute the ongoing expansion of the technology platform roadmap to drive innovation and efficiency.

Collaborate Across Disciplines: Partner closely with IT leaders, data scientists, data engineers, security analysts, cloud engineers, and architects. Together, you will enhance the platform's technological capabilities to address the evolving data and analytics needs across the organization.

Responsibilities:

• Vision & Strategic Planning: Develop and articulate a clear vision for the advancement of the platform to support and advance the organization's strategic objectives, addressing both current and future needs. Craft a detailed roadmap that specifies key initiatives, goals, milestones, and budget.
• Collaboration: Collaborate with IT leaders to comprehend their data and analytics requirements and provide effective solutions. Promote organization-wide use of platform by enhancing platform self-service capabilities and literacy.
• Innovation: Keep up to date with industry trends and emerging technologies in data engineering & analytics space and identify opportunities to drive innovation through experimentation and research.
• Technology: Lead the design, development, and enhancement of platform capabilities to enable cost-effective data and analytics solutions. This includes overseeing infrastructure systems, implementing best practices, automation, and configuration management, and optimizing system performance and security. Manage data ingestion, curation, and harmonization processes to ensure high-quality data flow across the platform. Ensure seamless integration and interoperability among divers