About the role, This Senior Manager position will work with their team to define and execute projects to develop and execute on best practices. You should be a methodological expert to enhance products and services developed and supported by the team. Your team of Data Scientists should function as change agents to insert best practices into workflows. We are not looking for an individual contributor in this role.

About the team, this team of Data Scientists is entrusted with driving innovation within our Health Markets business vertical. Through the utilization of LLM and AI, this team is further positioning Elsevier as a leader as we continue to deliver cutting edge products to market.

Responsibilities

• Working collaboratively with Health Markets technology groups (engineering, TIO & architecture) to guide and support HM product development.
• Manage and grow a team of Data Scientists, AI engineers, and ML engineers in HM Technology, including hiring and managing contractors as needed
• Working closely with stakeholders to understand the user problem and closely with architecture and the technical team to design the solution.
• Working collaboratively with other Data Science leaders to prioritize and resource projects in HM and contribute to cross-Elsevier best practices.
• Collaborating with Architecture and Data Engineering on the design of AI systems with an emphasis on reusability
• Implement and support DS best practices including data science governance, Responsible AI policies, and anti-bias initiatives
• Maintain a current roadmap of current HM projects and lead governance & prioritization meetings with the HM businesses in collaboration with other HM data science orgs
• Own and drive the implementation of Automated Assessment of GenAI systems (LLM-as-a-judge, goldset comparison, etc)
• Define and implement data asset strategy (metadata standards, data set registry, etc) to enable monetization of analytics in partnership with the business
• Lead a cross-functional group including product, commercial, sales, strategy to establish and refine a pipeline of innovation bets

Qualifications

• Current leadership of Data Scientists and ideally cross functional technologists.
• Proven track record of driving innovation and delivering products.
• Current and extensive experience in applied data science or AI/ML in a tech company, preferably in healthcare tech
• Through understanding of the utilization of AI/GenAI and its impact in Health Markets
• Expertise in a relevant field such as natural language processing, information retrieval, or generative AI and serve as a technical SME for their team.
• Expertise with advanced analytics methodologies, AI/ML and predictive modeling, MLOps, generative AI, and RAG systems
• Proven track record of being able to work independently and proactively engage with business stakeholders in collaborative, cross-functional initiatives