Accelerator Lead Data & AI Engineering

Role Overview

Join our digital accelerator commercial team as Lead Data Engineer and help make next-gen healthcare a reality. You will work with business teams to understand requirements and translate them into technical needs, support operations with Operation Excellence, and enforce compliance requirements.

What You Will Do

Design and develop optimized modules, support data modules engineers, define support models, build and run activities, and lead a team of data and AI engineers.

Why It Might Be a Fit

You will be a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise. You will have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Requirements

• 8 to 10 years experience
• Experience developing deployable code and deploying data pipelines and data models in product-focused development under an agile environment
• Strong experience in production-ready software development
• Excellent management and articulation of a team of Data and AI Engineers
• Continuous support to help team members throughout their personal and professional development
• Experience in a healthcare company is a strong plus
• Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus

Benefits

• Highly open and collaborative environment
• Opportunity to work with a world-class team
• Learn what it takes to make a service with a truly global reach
• Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
• Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
• Pursue Progress. Discover Extraordinary.
• Equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity