Develop generative Artificial Intelligence (AI) strategy for the Regulatory Science organization and align key strategic efforts needed with other Research and Development (R&D) digital organizations and Information Technology (IT)
Drive the implementation of generative AI solutions by partnering with technical development teams for alignment on infrastructure design and establishing a prioritization matrix for application development
Evaluation of current workstreams and establishing generative AI applications that drive efficiency within the workstream and improve the process and data quality
Own the development cycle for generative AI applications within the Regulatory Science organization focused on discovery through decommissioning
Lead a cross-functional Regulatory Science team targeting key business initiatives that can be migrated into the generative AI strategy and align with the Must Win Battles (MWB)
Establishing the ReRegulatory Science process and procedures needed to develop and support generative AI applications and aligning with IT on digital infrastructure and support to support the Regulatory Science process
Partner with the DSDT experts to establish key milestones, communication plans, and training programs to successfully establish a generative AI program for Regulatory Science and drive alignment with Regulatory Science, R&D and IT ensuring a scalable and sustainable system
Seek opportunities to expand knowledge within the generative AI space and opportunities to upskill the organization
