AMDS Global Head Data Engineering

Job Description Summary

The AMDS Global Head of Data Engineering will be responsible for world-class technical and organizational leadership in the area of data engineering, unlocking the analytical potential of complex data sources and AI to produce evidence and support decisions in drug development. This position will have critical business impact for data engineering across Novartis Drug Development and scalable data pools can support Biomedical Research and pave the way for statistical programming modernization with regard to GxP reporting activities.

 

Job Description

Key Responsibilities:  

• Promote cutting-edge efficient data engineering and data wrangling for priority pools to support in-depth data interrogation at the project and trial level for priority programs
• Be the Analytics technical lead with the data asset owner from Analytics DU team in order to plan, create and maintain data products in an efficient and scalable manner
• Support cross-functional teams in utilizing these data assets from Biomedical Research through Biomarker Development, Precision medicine through Development and medical affairs, and work with internal & external data engineering experts to grow capabilities and infrastructure in a reusable and scalable way.
• Bridge data and knowledge engineering together with more traditional statistical programming skills, to bring automation and modern processes to reporting activities for trials and programs:
• Establish data engineering as a process and function that is an essential capability to leverage complex (multi-modal and/or pooled) datasets to generate evidence that can support HA interactions / submission work and in-depth data interrogation.
• Establish data engineering practices that ensure automated testing with documented code-review and have automated, reproducible QC reports accompany all data releases.
• Engage as a key contributor to the AMDS Leadership team, propose, lead or contribute to functional or cross-functional data engineering initiatives, coordinating diverse team members to support priority projects across Analytics and Stat Methods and AEA teams in AMDS.
• Attract and develop strong talent to a team that can deploy a range of data and software engineering skills alongside data science and AI in order to support data engineering activities across the broader Analytics group and extend to Biomedical Research.
• Bring data and software engineering mindset and deep technical expertise to the technology infrastructure projects, the wider organization and the pharma community:

Role Requirements

• Deep knowledge and 10+ years of experience in global drug development, including data pooling strategy, technology and computing environments, AI and modernization
• Proven expertise in quantitative sciences, including good data science practices, working with and engineering multi-modal large data, strategic input to technology platforms
• Experience working in a fast-paced environment with multiple competing priorities
• proven ability to operate in a matrixed environment, with a high tolerance for ambiguity and change
• Excellent presentation and communication skills, influencing and senior stakeholder management skills and collaboration
• Thorough knowledge of GxP, IT systems, QA and regulatory/clinical development process
• Ability to represent the organization in senior internal and external forums
• Fluency in English, written and oral

This position will be located at the East Hanover, NJ site and will not have the ability to be located remotely. This position will require 10% travel as defined by the business (domestic and/ or international).

The pay range for this position at commencement of employment is expected to be between $245,600 and $368,400 per year; however, while salary ranges are effective from 1/1/24 through 12/31/24, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of